Bibliographic record
Abstract
Cela fait plusieurs années que les clips (ou vidéoclips) ont trouvé un second souffle sur Internet via notamment les plateformes de téléchargement (iTunes, MTV, AOL, etc.) et les sites de partage de vidéos en ligne (YouTube, Vimeo, MySpace, etc.). Cette remédiation du clip sur Internet a vu émerger un nouveau genre : le clip interactif. Des artistes amateurs et professionnels, parmi lesquels on notera le groupe Arcade Fire et le réalisateur canadien Vincent Morisset, exploitent les possibilités offertes par ce nouvel espace de diffusion et intègrent l’interactivité dans leurs clips. Mais s’agit-il pour autant d’une expérience audiovisuelle totalement inédite ? Le présent article propose de revenir sur ce phénomène encore peu étudié de la remédiation des clips sur Internet en relevant certains éléments de continuité (l’attraction) et de discontinuité (l’interactivité) entre les clips programmés jadis sur MTV et ceux diffusés actuellement sur Internet.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.078 | 0.010 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".