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Record W1931151845

Les savoirs des fans à travers deux communautés Web

2006· article· fr· W1931151845 on OpenAlex

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

VenueCommposite · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesArtPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Deux conceptions differentes du fan sont vehiculees dans les discours sociaux sur la culture populaire: la figure du fan excessif et celle du fan serieux. Cet article questionne le bien-fonde de cette distinction, en analysant le meme type de pratique (soit l'accumulation de savoirs via les sites Web), selon une organisation commune (la communaute de fans). Des sites Web de deux communautes de fans, celles de Norah Jones et de Kylie Minogue, ont ete etudies. Les sites de ces deux communautes Web comptent generalement les memes offres de contenu pour les deux chanteuses. Celles-ci demontrent des savoirs considerables, manifestes et latents, de la part des fans qui concoivent ces sites et qui font partie de leur communaute Web. A travers tous ces types de savoirs mobilises, il est possible de constater que les fans, qu'ils fassent partie des « excessifs » ou des « aficionados », consacrent une energie considerable afin d'accumuler un impressionnant volume de savoirs autour de leur idole.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.674
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.037
GPT teacher head0.298
Teacher spread0.261 · 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