MétaCan
Menu
Back to cohort
Record W4414909580 · doi:10.1177/13678779251380599

The creator function, post-structuralism, and the perils of terminological dissonance

2025· article· en· W4414909580 on OpenAlex
David Craig, Tanner Mirrlees

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

VenueInternational Journal of Cultural Studies · 2025
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsCognitive dissonanceDeconstruction (building)Field (mathematics)Subject (documents)Process (computing)Cultural studiesCulture theory

Abstract

fetched live from OpenAlex

A broadly interdisciplinary field is emerging to study creators, referred to as “creator studies”, “platforms and cultural production studies”, “influencer studies”, and “ wanghong studies”. Yet the subject of this field—the creator—is still in the process of “being born” or constructed. The definition of the creator that will inevitably stabilize and be governmentalized remains uncertain and contested, shaped by corporations, states, scholars, and creators themselves. Drawing on Foucault's concept of the author-function and framed by the concept of the creator, this essay analyzes five major creator constructions: the content creator, platform-based cultural producer, influencer, precarious worker, and celebrated entrepreneur to assess their functions, dysfunctions, possibilities and limitations. We advocate for terminological coherence, describing how ongoing terminological dissonance carries real-world consequences for creators and creator governance. In this way, our deconstruction is also an act of construction: aimed at building a more grounded and critical field of creator studies.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.175

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.327
Teacher spread0.309 · 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