Intermédialité et écologie des médias : essai de cartographie comparative1
Bibliographic record
Abstract
À partir d’une comparaison entre intermédialité et écologie des médias — qui partagent une quantité étonnante de traits communs, tant du point de vue de leur développement historique et institutionnel que de celui de leurs fondements épistémiques et méthodologiques —, cet article tente de saisir ce qui lie et ce qui distingue ces deux « interdisciplines ». Nous essaierons ensuite de comprendre ce qu’elles peuvent nous apprendre sur le contexte médiatique et institutionnel de leur émergence et de leur développement dans les interstices disciplinaires de nos « universités en ruines » (Readings).
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.019 | 0.020 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".