MétaCan
Menu
Back to cohort
Record W2508680340 · doi:10.4000/communication.6825

François-Emmanuël BOUCHER, Sylvain DAVID et Maxime PRÉVOST (dir.) (2014), L’invention de la rock star. Les Rolling Stones dans l’imaginaire social

2016· article· fr· W2508680340 on OpenAlexvenueno aff
Nuné Nikoghosyan

Bibliographic record

VenueCommunication · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesStar (game theory)PhysicsAstrophysics

Abstract

fetched live from OpenAlex

Le présent ouvrage collectif aborde en 10 chapitres diverses thématiques pour décortiquer les « mythographes et mythologues » (p. 5) que sont les Rolling Stones : les discours, les mythes, l’image, la musique, les paradoxes et bien plus. Les rock stars ont le pouvoir d’influencer des styles de vie et des pensées, surtout des jeunes, mais incarnent elles-mêmes des figures mythiques et des images bien construites. L’ouvrage offre un aperçu de ce qui se trouve derrière la figure de la rock star...

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.769
Threshold uncertainty score0.459

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.007
Scholarly communication0.0080.007
Open science0.0010.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0110.004

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 head0.017
GPT teacher head0.282
Teacher spread0.265 · 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 designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCommunicationSame topicCanadian Identity and HistoryFrench-language works237,207