MétaCan
Menu
Back to cohort
Record W7128443752 · doi:10.7202/1122188ar

Manières d’être mutant : métamorphose et hybridation comme prise de pouvoir des « faibles » dans <i>Game of Thrones</i>

2025· article· fr· W7128443752 on OpenAlexvenueno aff
Bruno Vergnes

Bibliographic record

VenueÉtudes littéraires · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration and Exile Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)Process (computing)Context (archaeology)Identity (music)

Abstract

fetched live from OpenAlex

Cet article propose une analyse de la série Game of Thrones à travers la notion de mutation, envisagée comme une dynamique de prise de pouvoir. Nous analysons deux tropes de la transformation pour montrer que la série oppose la métamorphose spectaculaire de Daenerys à l’hybridation chamanique de Bran, cette dernière apparaissant comme une alternative aux structures de pouvoir traditionnelles. À travers une approche philosophique et anthropologique, nous interrogeons la manière dont Game of Thrones met en scène une recomposition des frontières entre l’humain et le non-humain, ouvrant ainsi une réflexion sur les formes contemporaines du pouvoir.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.017
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.038
GPT teacher head0.325
Teacher spread0.287 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueÉtudes littérairesSame topicMigration and Exile StudiesFrench-language works237,207