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Political Economies of Media Technologies

2018· reference-entry· en· W2895279411 on OpenAlex
Vincent Mosco

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOxford Research Encyclopedia of Communication · 2018
Typereference-entry
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsQueen's University
Fundersnot available
KeywordsPoliticsPolitical scienceEconomic geographyEconomic systemBusinessEconomyEconomics

Abstract

fetched live from OpenAlex

Abstract Political economy approaches examine the power relations that are embedded in the production, distribution, and exchange of resources. They are distinguished from economics by a deeper concern for history, the social totality, moral philosophy, and praxis. Numerous schools of thought mark these approaches including early conservative, communitarian, and Marxian perspectives. Today, neoconservative, institutional, neo-Marxian, feminist, environmental, and social movement-based approaches offer a wide variety of political economies. Communication scholars have drawn on political economy approaches to carry out research on media technologies, including broadcasting, telecommunications, and computer communication. In doing so they have developed distinctive geographic perspectives covering North America, parts of Asia, Europe, and the less developed world. Political economy approaches are built on specific philosophical assumptions including a range of epistemologies that, on one end of a continuum, accept the reality of concepts and observations and, at the other, claim that concepts and observations are the social constructions of language. Political economy approaches also range from perspectives that emphasize social change, social processes, and social relations to those that focus on social structures and institutions. Political economists tend to concentrate on three processes that make up the main starting points for political economy research on media technologies. Commodification is the process of transforming things valued for their use into marketable products that are valued for what they can bring in exchange. This can be seen, for example, in the process of turning a story that friends tell one another into a film, a book, or even a virtual experience, to be sold in the marketplace. Spatialization is the process of overcoming the constraints of geographical space with media and technologies. For example, social media surmounts distance by bringing images of world events to every part of the globe, and companies use media technologies, now typically composed of cloud computing, big data analytics, the Internet of Things, and telecommunications networks, to build global supply chains. Finally, structuration is the process of creating social relations, mainly those organized around social class, gender, and race. With respect to social class, political economy approaches describe how access to the mass media and new communication technologies is influenced by inequalities in income and wealth, which enable some to afford access and others to be left out. Political economy approaches are evolving in response to challenges from cultural studies approaches. Political economies of media technologies are now placing greater emphasis on international communication, on communication history, on standpoints of resistance, on new media technologies, and on new media activism.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.007
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.105
GPT teacher head0.419
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it