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Record W2778746917 · doi:10.1163/22142312-12340081

Platformativity: Media Studies, Area Studies

2017· article· en· W2778746917 on OpenAlexaff
Thomas Lamarre

Bibliographic record

VenueAsiascape Digital Asia · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsMcGill University
Fundersnot available
KeywordsGeopoliticsPerformativitySubalternNormativeSociologyDisciplinePosthumanRelation (database)SovereigntyEpistemologyPolitical sciencePoliticsSocial scienceGender studiesLawPhilosophyComputer science

Abstract

fetched live from OpenAlex

Abstract Waves of subaltern, colonial, postcolonial, and critical race studies have posed an undeniable challenge to the normative geopolitical bent of area studies, and yet the same challenges are rarely taken up within media studies. Media studies reach a similar impasse when it comes to dealing with geopolitical forms and functions, stressing the dynamism of media and the passivity, historical immutability, and cultural inertness of regions. This article reconsiders the impasses of both area studies and media studies to propose an alternative approach to the region-platform relation: platformativity. The notion of platformativity is intended to address the infra-individual intra-actions between platform and human, and individual and collective – a kind of performativity via platforms. It considers how media infrastructures operate alongside and through national and regional forms to generate signaletic modes of existence that function as relays between disciplinary, sovereign, and biopolitical formations.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.006
Science and technology studies0.0060.031
Scholarly communication0.0140.018
Open science0.0010.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.000

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 head0.176
GPT teacher head0.399
Teacher spread0.223 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations34
Published2017
Admission routes1
Has abstractyes

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