Youtubeurs et webséries : un temps pour\n commenter
Bibliographic record
Abstract
Cette analyse temporaliste explore les commentaires en marge des webséries et des vlogs à travers leurs dimensions temporelles (moment de leur publication, leur contenu et leur dynamique) et les jeux de temporalité qu’ils introduisent dans l’expérience de visionnement. Ces commentaires affichent des finalités qui varient au cours des échanges : ouvrir les échanges, réagir à la publication ou à la vidéo, commenter son expérience de façon plus personnelle ou squatter ces échanges pour détourner les internautes vers de nouvelles plateformes. Au cours des échanges, les commentaires participent à des momentum qui se traduisent par autant de mouvements qui animent les réseaux sociaux. L’internaute trouve dans ces cadres temporels un espace d’échange où il définit un usage d’une expérience de visionnement qui devient un moment d’expression d’une identité numérique.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".