Due to the non-invasiveness and high precision of electroencephalography, the combination of EEG and artificial intelligence is often used for emotion recognition. However, the internal differences in EEG data have become an obstacle to classification accuracy. To solve this problem, considering labeled data from similar nature but different domains, domain adaptation usually provides an attractive option. Most of the existing researches aggregate the EEG data from different subjects and sessions as a source domain, which ignores the assumption that the source (...) has a certain marginal distribution. Moreover, existing methods often only align the representation distributions extracted from a single structure, and may only contain partial information. Therefore, we propose the multi-source and multi-representation adaptation for cross-domain EEG emotion recognition, which divides the EEG data from different subjects and sessions into multiple domains and aligns the distribution of multiple representations extracted from a hybrid structure. Two datasets, i.e., SEED and SEED IV, are used to validate the proposed method in cross-session and cross-subject transfer scenarios, experimental results demonstrate the superior performance of our model to state-of-the-art models in most settings. (shrink)

The existence of a Richter–Peleg multi-utility representation of a preorder by means of upper semicontinuous or continuous functions is discussed in connection with the existence of a Richter–Peleg utility representation. We give several applications that include the analysis of countable Richter–Peleg multi-utility representations.

Many debates in philosophy focus on whether folk or scientific psychological notions pick out cognitive natural kinds. Examples include memory, emotions and concepts. A potentially interesting type of kind is: kinds of mental representations (as opposed, for example, to kinds of psychological faculties). In this chapter we outline a proposal for a theory of representational kinds in cognitive science. We argue that the explanatory role of representational kinds in scientific theories, in conjunction with a mainstream approach to explanation in cognitive (...) science, suggest that representational kinds are multi-level. This is to say that representational kinds’ properties cluster at different levels of explanation and allow for intra- and inter-level projections. (shrink)

We provide conditions under which an incomplete strongly independent preorder on a convex set X can be represented by a set of mixture preserving real-valued functions. We allow X to be infi nite dimensional. The main continuity condition we focus on is mixture continuity. This is sufficient for such a representation provided X has countable dimension or satisfi es a condition that we call Polarization.

This is a follow-up article toPhilip Brey's ``The ethics of representation andaction in Virtual Reality'' (published in thisjournal in January 1999). Brey's call for moreanalysis of ethical issues of virtual reality(VR) is continued by further analyzing issuesin a specialized domain of VR – namelymulti-user environments. Several elements ofBrey's article are critiqued in order to givemore context and a framework for discussion.Issues surrounding representations ofcharacters in multi-user virtual realities aresurveyed in order to focus attention on theimportance of additional discussion (...) andanalysis of specialized aspects of VR. (shrink)

In this paper we argue that awareness comes in degrees, and we propose a novel multi-factor account that spans both subjective experiences and perceptual representations. At the subjective level, we argue that conscious experiences can be degraded by being fragmented, less salient, too generic, or flash-like. At the representational level, we identify corresponding features of perceptual representations—their availability for working memory, intensity, precision, and stability—and argue that the mechanisms that affect these features are what ultimately modulate the degree of (...) awareness. We conclude the paper by demonstrating why the original interpretations of certain empirical findings that apparently pose problems for our account are, in fact, flawed. (shrink)

The present paper describes a joint action paradigm in which individuals or pairs utilized two computer keys to keep a dot stimulus moving inside a larger rectangle. Members of a pair could neither see nor hear each other. This paradigm allowed us to combine the discrete-trial type dependent variables commonly utilized by representational theorists, with the continuous, temporal dependence variables utilized by dynamical theorists. Analysis revealed that individuals kept the dot in the rectangle longer than dyads and did so by (...) moving it back and forth within the rectangle. Dyads, however, pressed their individual buttons as quickly as possible in order to keep the dot near the middle of the rectangle. These findings indicate that joint action constitutes a multi-scale phenomena that is best investigated via multiple, complementary methodologies versus single-measure, competing theories. (shrink)

Projections of future climate change cannot rely on a single model. It has become common to rely on multiple simulations generated by Multi-Model Ensembles (MMEs), especially to quantify the uncertainty about what would constitute an adequate model structure. But, as Parker points out (2018), one of the remaining philosophically interesting questions is: “How can ensemble studies be designed so that they probe uncertainty in desired ways?” This paper offers two interpretations of what General Circulation Models (GCMs) are and how (...) MMEs made of GCMs should be designed. In the first interpretation, models are combinations of modules and parameterisations; an MME is obtained by “plugging and playing” with interchangeable modules and parameterisations. In the second interpretation, models are aggregations of expert judgements that result from a history of epistemic decisions made by scientists about the choice of representations; an MME is a sampling of expert judgements from modelling teams. We argue that, while the two interpretations involve distinct domains from philosophy of science and social epistemology, they both could be used in a complementary manner in order to explore ways of designing better MMEs. (shrink)

Representation has been one of the main themes in the recent discussion of models. Several authors have argued for a pragmatic approach to representation that takes users and their interpretations into account. It appears to me, however, that this emphasis on representation places excessive limitations on our view of models and their epistemic value. Models should rather be thought of as epistemic artifacts through which we gain knowledge in diverse ways. Approaching models this way stresses their materiality (...) and media-specificity. Focusing on models as multi-functional artifacts loosens them from any pre-established and fixed representational relationships and leads me to argue for a two-fold approach to representation. (shrink)

Multi-time wave functions are wave functions for multi-particle quantum systems that involve several time variables. In this paper we contrast them with solutions of wave equations on a space–time with multiple timelike dimensions, i.e., on a pseudo-Riemannian manifold whose metric has signature such as \ or \, instead of \. Despite the superficial similarity, the two behave very differently: whereas wave equations in multiple timelike dimensions are typically mathematically ill-posed and presumably unphysical, relevant Schrödinger equations for multi-time (...) wave functions possess for every initial datum a unique solution on the spacelike configurations and form a natural covariant representation of quantum states. (shrink)

Magnetoencephalography (MEG) and electroencephalography (EEG) are invaluable neuroscientific tools for unveiling human neural dynamics in three dimensions (space, time, and frequency), which are associated with a wide variety of perceptions, cognition, and actions. MEG/EEG also provides different categories of neuronal indices including activity magnitude, connectivity, and network properties along the three dimensions. In the last 20 years, interest has increased in inter-regional connectivity and complex network properties assessed by various sophisticated scientific analyses. We herein review the definition, computation, short history, (...) and pros and cons of connectivity and complex network (graph-theory) analyses applied to MEG/EEG signals. We briefly describe recent developments in source reconstruction algorithms essential for source-space connectivity and network analyses. Furthermore, we discuss a relatively novel approach used in MEG/EEG studies to examine the complex dynamics represented by human brain activity. The correct and effective use of these neuronal metrics provides a new insight into the multi-dimensional dynamics of the neural representations of various functions in the complex human brain. (shrink)

This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: Does our representation of time provide and amodal framework for multi-sensory integration?

Cocreating meaning in collaboration is challenging. Success is often determined by people's abilities to coordinate their language to converge upon shared mental representations. Here we explore one set of low‐level linguistic behaviors, linguistic alignment, that both emerges from, and facilitates, outcomes of high‐level convergence. Linguistic alignment captures the ways people reuse, that is, “align to,” the lexical, syntactic, and semantic forms of others' utterances. Our focus is on the temporal change of multi‐level linguistic alignment, as well as how alignment (...) is related to communicative outcomes within a unique collaborative problem‐solving paradigm. The primary task, situated within a virtual educational video game, requires creative thinking between three people where the paths for possible solutions are highly variable. We find that over time interactions are marked by decreasing lexical and syntactic alignment, with a trade‐off of increasing semantic alignment. However, greater semantic alignment does not translate into better team performance. Overall, these findings provide greater clarity on the role of linguistic coordination within complex and dynamic collaborative problem‐solving tasks. (shrink)

The notion of a multi-term π-institution is introduced and a criterion for the equivalence of two multi-term π-institutions in terms of their categories of theories is proved. Moreover, a counterexample that shows that this criterion is false for arbitrary π-institutions is given.

Private governance raises important questions about democratic representation. Rule making is rarely based on electoral authorisation by those in whose name rules are made—typically a requirement for democratic legitimacy. This requires revisiting the role of representation in input legitimacy in transnational governance, which remains underdeveloped. Focussing on private labour governance, we contrast two approaches to the transnational representation of worker interests in global supply chains: non-governmental organisations providing representative claims versus trade unions providing representative structures. Studying the (...) Bangladesh Accord for Fire and Building Safety, we examine their interaction along three dimensions of democratic representation: 1) creating presence, 2) authorisation, and 3) accountability to affected constituents. We develop a framework that explains when representative claims and structures become complementary but also how the politics of input legitimacy shapewhoseinterests get represented. We conclude by deriving theoretical and normative implications for transnational representation and input legitimacy in global governance. (shrink)

Some recent cognitive-scientific research suggests that a considerable amount of intelligent action is generated not by the systematic activity of internal representations, but by complex interactions involving neural, bodily, and environmental factors. Following an analysis of this threat to representational explanation, we pursue an analogy between the role of genes in the production of biological form and the role of neural states in the production of behaviour, in order to develop a notion of genic representation. In both cases an (...) appeal to normal ecological context is used to balance multi-factoral, interactive causal determination against the intuition that certain aspects of the causal nexus play a special role in promoting adaptive success. Certain worries abut this vision help us to get a better grip on the concept of genic representation itself. We end with a puzzle concerning the relation between cognition and representation. (shrink)

As an important component to promote the development of affective brain–computer interfaces, the study of emotion recognition based on electroencephalography (EEG) has encountered a difficult challenge; the distribution of EEG data changes among different subjects and at different time periods. Domain adaptation methods can effectively alleviate the generalization problem of EEG emotion recognition models. However, most of them treat multiple source domains, with significantly different distributions, as one single source domain, and only adapt the cross-domain marginal distribution while ignoring the (...) joint distribution difference between the domains. To gain the advantages of multiple source distributions, and better match the distributions of the source and target domains, this paper proposes a novel multi-source joint domain adaptation (MSJDA) network. We first map all domains to a shared feature space and then align the joint distributions of the further extracted private representations and the corresponding classification predictions for each pair of source and target domains. Extensive cross-subject and cross-session experiments on the benchmark dataset, SEED, demonstrate the effectiveness of the proposed model, where more significant classification results are obtained on the more difficult cross-subject emotion recognition task. (shrink)

Multilevel wayfinding research in environmental psychology and architecture exhibits a strong compatibility with Jeffery et al.'s representation of space. We identify a need for capturing verticality in spatial analysis techniques such as space syntax and argue for investigating inter-individual differences in the ability to mentally integrate the cognitive maps of separate floors in buildings.

The concept of intersectionality is on its way to becoming a new paradigm in gender studies. In its current version, it denominates reciprocities between gender, race and class. However, it also allows for the integration of other socially defined categories, such as sexuality, nationality or age. On the other hand, it is widely left unclear as to which level these reciprocal effects apply: the level of social structures, the level of constructions of identity or the level of symbolic representations. This (...) article advocates an intersectional multi-level analysis which takes into account reciprocal effects between the various levels. This approach includes an analytical grasp of and methodical reflection on these reciprocal effects as well as making them empirically accessible. (shrink)

Expressivism in logic is the view that logical vocabulary plays a primarily expressive role: that is, that logical vocabulary makes perspicuous in the object language structural features of inference and incompatibility (Brandom, 1994, 2008). I present a precise, technical criterion of expressivity for a logic (§2). I next present a logic that meets that criterion (§3). I further explore some interesting features of that logic: first, a representation theorem for capturing other logics (§3.1), and next some novel logical vocabulary (...) for expressing structural features of inference (§4). (shrink)

Economists often consult multiple models in order to combat model uncertainty in the face of misspecification. By examining modeling practices at the Bank of England, this paper identifies an important, but underappreciated modeling procedure. Sometimes an idealized model is manipulated to reproduce the results from another distinct auxiliary model, ones which it could not produce on its own. However, this procedure does not involve making the original model “more realistic,” insofar as this means adding in additional causal factors. This suggests (...) that there are ways to make models more representationally adequate that do not involve de-idealization in the straightforward sense. (shrink)

The paper presents a new model of the structure of basic arithmetical representa-tions encoded in minds which enable them to solve simple story-tasks. According to the dominating paradigm the process of acquiring basic counting abilities culminates in encoding the exact number line in mind. This linear number representation enables the mind to solve simple story-tasks which do not require any mathematical mastery knowledge comprising laws, definitions and theorems. Some researchers try to show that the process of encoding the exact (...) number line stems from transformations of the approximate number line (the mental number line) whereas others model this process as being dependent on the linguistic and logical resources of mind. (shrink)

In recent years, a number of different disciplines have begun to investigate the fundamental role context appears to play in a number of cognitive phenomena. Traditionally, linguistics, and the fields of communication and pragmatics in particular, have been the areas that have focused the most on contextual effects. Context has increasingly been studied for its role in influencing mental concepts, for some scholars being considered constitutive for most – if not all – concepts. Cognitive neuroscience is now starting to consider (...) in a systematic way how context interacts with neural responses, although this research is still scattered and concentrated in a small number of specific cases only. In this chapter, we attempt to tie these three levels together, since only from their integration can a comprehensive explanation of how context affects cognition be constructed. The way context drives language comprehension depends on the effects of context on the conceptual scaffolding of the listener, which in turn, is the result of his neural responses in combination to context. These neural responses derive from learning throughout the history of experiences of the individual, and the association between possible contexts and heard utterances. The road we take to accomplishing the multi-level integration between what appear to be distant domains, is a computational one. This approach meets with the mechanistic framework of explanation, which is currently held as the most appropriate way of approaching cognitive phenomena that is often characterized by a multiplicity of levels, as is the case with context. The core underlying concept of the neurocomputational framework here proposed, is an account of neural representation, based on structural similarity. Structural representations are still the best option on the market in cognitive science, but in their traditional form, derived from classical measurement theory, are affected by a number of serious drawbacks, including not being able to account for context. We suggest a different account of structural similarity, one informed by current neuroscience, where the homomorphic relations required for structural similarity are derived from neural population coding. In a preliminary mathematical sketch, we indicate how this approach can construct neural aggegations that are sensitive to context. (shrink)

The study “Psychoanalysis—its image and its public” intimates that common sense is increasingly informed by science. But common sense asserts its autonomy and, in turn, may affect the trajectory of science. This is a process that leads to many differentiations—in common sense, in scientific innovation and in political and regulatory structures. Bauer and Gaskell's toblerone model of triangles of mediation provided a distillation of their reading of “La Psychanalyse.” Here it was argued that representations are multi-modal phenomena necessitating the (...) use of multiple methodologies .In this paper we briefly summarise these arguments and elaborate ways in which social representation theory can be considered a progressive research programme. “Progressive” because as the theory has developed it has extended the range and depth of its conceptual basis; it provides a new synthesis for the social scientific understanding of the phenomena of common sense and of representation; it acts as an antidote to the reductionism of public opinion and, finally, it is a stimulus to depart from disciplinary silos. However, there remain unresolved issues: how to segment the relevant social milieus and how to close the feedback loop from common sense to science? (shrink)

In this paper we consider persuasion in the context of practical reasoning, and discuss the problems associated with construing reasoning about actions in a manner similar to reasoning about beliefs. We propose a perspective on practical reasoning as presumptive justification of a course of action, along with critical questions of this justification, building on the account of Walton. From this perspective, we articulate an interaction protocol, which we call PARMA, for dialogues over proposed actions based on this theory. We outline (...) an axiomatic semantics for the PARMA Protocol, and discuss two implementations which use this protocol to mediate a discussion between humans. We then show how our proposal can be made computational within the framework of agents based on the Belief-Desire-Intention model, and illustrate this proposal with an example debate within a multi agent system. (shrink)

This paper explores lexicographically additive representations of multi-attribute preferences on finite sets. Lexicographic additivity combines a lexicographic feature with local value tradeoffs. Tradeoff structures are governed by either transitive or nontransitive additive conjoint measurement. Alternatives are locally traded off when they are close enough within threshold associated with a dominant subset of attributes.

This paper challenges arguments that systematic patterns of intelligent behavior license the claim that representations must play a role in the cognitive system analogous to that played by syntactical structures in a computer program. In place of traditional computational models, I argue that research inspired by Dynamical Systems theory can support an alternative view of representations. My suggestion is that we treat linguistic and representational structures as providing complex multi-dimensional targets for the development of individual brains. This approach acknowledges (...) the indispensability of the intentional or representational idiom in psychological explanation without locating representations in the brains of intelligent agents. (shrink)

This paper is about pairing relation algebras as well as fork algebras and related subjects. In the 1991-92 fork algebra papers it was conjectured that fork algebras admit a strong representation theorem . Then, this conjecture was disproved in the following sense: a strong representation theorem for all abstract fork algebras was proved to be impossible in most set theories including the usual one as well as most non-well-founded set theories. Here we show that the above quoted conjecture (...) can still be made true by choosing an appropriate set theory as our foundation of mathematics. Namely, we show that there are non-well-founded set theories in which every abstract fork algebra is representable in the strong sense, i.e. it is isomorphic to a set relation algebra having a fork operation which is obtained with the help of the real pairing function. Further, these non-well-founded set theories are consistent if usual set theory is consistent. Finally, we will discuss related developments in propositional multi-modal logics of quantification and substitution, in algebraic logic e.g. cylindric algebras, the so called finitization problem, and applications to a logic introduced and studied in Tarski-Givant [42]. In particular, representable, weakly higher order cylindric algebras are finitely axiomatizable in a set theory which admits the axiom of foundation for finite sets. (shrink)

We argue that contrastive statements have the same underlying semantics and affect the context in the same way as denials. We substantiate this claim by giving a unified account of the two phenomena that treats contrast as a subtype of denial. This analysis crucially requires a dynamic semantics view of context-dependence with a multi-dimensional representation of information.

The present paper analyzes cultural attires and appearances of Marri and Bugti tribes in Balochistan to find out latent meanings attached to these artifacts. In doing so, the study uses Peirce’s framework of semiotics- an iconic perspective. The analysis has been carried out with the help of close reading of the cultural images and appearances. The results reveal underlying multi-meanings attached to these images and appearances. The findings reflect the richness and diversity of Marri and Bugti cultures and the (...) invisible representational meanings of these objects. This research endeavor may be helpful to promote pluralism, harmony and enhance intercultural awareness necessary for understanding cultural diversities within and across societies. More so, future researchers can explore cultural objects and appearances of Punjabi, Sindhi, Pashtuns, Urdu speaking, and Saraiki people by applying various frameworks of semiotics. (shrink)

Spatial objects may not only be perceived visually but also by touch. We report recent experiments investigating to what extent prior object knowledge acquired in either the haptic or visual sensory modality transfers to a subsequent visual learning task. Results indicate that even mental object representations learnt in one sensory modality may attain a multi-modal quality. These findings seem incompatible with picture-based reasoning schemas but leave open the possibility of modality-specific reasoning mechanisms.

While Kant in the Critique of Pure Reason maintains that things in themselves cannot be known, he also seems to assert that they affect our senses and produce representations. Following Jacobi, many commentators have considered these claims to be contradictory. Instead of adding another artificial solution to the existing literature on this subject, I maintain that Kant’s use of terms such as thing-in-itself, noumenon, and transcendental object becomes perfectly consistent if we take them to acquire a different meaning in the (...) various parts of the work. Challenging the opposed interpretations of Allison and Langton, I argue that Kant’s account of things in themselves is primarily relevant to the second-order reflection on the possibility and limits of a scientific metaphysics that the Critique undertakes. (shrink)

A growing body of ethics research investigates gender diversity and governance on corporate boards, at individual and firm levels, in single country studies. In this study, we explore the environmental context of female representation on corporate boards of directors, using data from 43 countries. We suggest that women's representation on corporate boards may be shaped by the larger environment, including the social, political and economic structures of individual countries. We use logit regression to conduct our analysis. Our results (...) indicate that countries with higher representation of women on boards are more likely to have women in senior management and more equal ratios of male to female pay. However, we find that countries with a longer tradition of women's political representation are less likely to have high levels of female board representation. (shrink)

The most important property, a distinctive feature of any intelligent system, is its decision-making ability. In this case, the more complex the problem to be solved, the more and more diverse the initial data, and the more critical it is that the decision to be made was comprehensively considered and evaluated. In many cases, simultaneously arriving various initial data, if considered separately, and decisions based on such consideration lead to completely different results, often contradicting each other. Therefore, in the process (...) of development and implementation of artificial intelligence (AI), it is especially important to investigate the “mechanism” of decision-making in conditions of the inconsistency of incoming initial data and the need to establish some generalizing rule, according to which it is possible to find a harmonizing solution taking into account various influencing factors. It is evident that when establishing the rules of decision-making, it is necessary to strive for a “positive” result from the point of view of the problem being solved. This undoubtedly requires analyzing the consequences of the decision made in a set time scale, which can be provided by appropriate feedback that will allow us to make the necessary corrective actions. Artificial intelligence in modern forms of practical realization has, as a rule, a digital embodiment. It should be taken into account that the digital representation of data inevitably shows an inaccurate display of initial values when processes of a continuous nature are considered and analyzed. Since a digital model has certain limitations and characteristic properties when analyzing and processing initial data, it is logical to assume that for this reason, there can be some general approach, some general rule, according to which a decision is made in the conditions of diverse initial data and the need to take into account the relevant consequences after the decision is made. This paper attempts to find a decision-making mechanism, harmonizing it according to the incoming external and available internal input data. (shrink)

The book addresses the representation of three groups of "others" in Israeli schoolbooks: Holocaust victims, presented as the stateless persecuted Jews "we" might become again if "we" lose control over the second group of "others" - Palestinian Arabs - who are racialized, demonized and Nazified, and presented as "our" potential exterminators. The third group comprises non-European (Mizrahi and Ethiopian) Jews, portrayed as backward people who lack history or culture, requiring constant acculturation by "Western" Israel. Thus, a rhetoric of victimhood (...) and power evolves, and a nationalistic interpretation of the "never again" imperative is inculcated, justifying the Occupation and oppression of Palestinians and the discrimination of non-European Jews. Advocating a multidirectional memory, the book proposes an alternative Hebrew-Arabic, multi-voiced and poly-centered curriculum that would relate the untold accounts of the people whom the pedagogic version of history seeks exclude. Instead of traumatizing and urging vengeance, it will encourage discussion and celebrate diversity and hybridity. (shrink)

This paper presents an approach to managing knowledge specific to a particular location for complex instruments. The goal is to improve the knowledge communication between experts and end-users of scientific instruments. We propose a computational framework that integrates augmented reality and augmented virtuality as interface for manipulating knowledge. The augmented virtuality-based interface can be produced and distributed without extra costs. It allows knowledge dissemination at a larger scale. The prominent feature of our model is that the knowledge representation is (...) independent from those interfaces. A preliminary version of our framework has been implemented and deployed in customers’ environments. (shrink)

A significant portion of philosophical questions concerning the Holocaust revolve around the problem of representation, that is, how the event can be represented in a concept or in an image, if at all. This article argues that Nuit et brouillard (Night and Fog, 1956) by Alain Resnais and Inglourious Basterds by Quentin Tarantino (2009) respond to the problem of representation in an original way by challenging the conventions of their respective genre. The juxtaposition of past and present images (...) in Nuit et brouillard proposes a new form of remembering that liberates memory from the confines of the past in order not to lose sight of what is happening now. Inglourious Basterds, similarly, circumvents the problem of realistic representation by means of a counter-historical story in which Hitler is brutally killed in Paris. Pushing to the extreme the Americanisation that is typical of the Hollywood treatments of World War II, Tarantino offers a multi-layered spectacle of violence that culminates in the burning down of a film theatre as a symbol of Tarantino’s having done with representation. (shrink)

A number of multi-stakeholder initiatives and commodity roundtables have been created since the 1990s to respond to the growing criticism of agriculture’s environmental and social impacts. Driven by private and global-scale actors, these initiatives are setting global standards for sustainable agricultural practices. They claim to follow the new standard-making virtues of inclusiveness and consensus and base their legitimacy on their claim of balanced representation of, and participation by, all categories of stakeholders. This principle of representing a wide range (...) of interests with a balance of power is at the heart of a new type of action that forms part of a broader political liberal model for building coalitions of interest groups. The intention of this symposium is to assess the nature of processes and outcomes of this model while paying particular attention to the forms of inclusion and exclusion they generate. In this introduction, we highlight the differences in theoretical approaches to analyzing MSIs and the manifestation of power through them. We distinguish between more traditional political–economy approaches and approaches concerned with ideational and normative power, such as convention theory. We discuss some of the main paradoxes of MSIs related to their willingness to be “inclusive” and at the same time their exclusionary or “closure” effects due in part to interactions with existing political economic contexts and embedded power inequalities, as well as more subtle manifestations of power linked to the favoring of some forms of knowledge and engagement over others. (shrink)