Bibliographic record
Abstract
Organisé par Claire Cornillon et Sarah Hatchuel, et soutenu par la MSH-Sud et le RIRRA21, le colloque « Séries américaines de network des années 1990 » s'est déroulé à l'Université Paul-Valéry Montpellier 3, les 27 et 28 février 2020.S'inscrivant dans le cadre du projet GUEST, il fait suite à la journée d'étude « Séries de network des années 1950-1970 » (7 mai 2018, Montpellier) et au colloque « Séries américaines de networks des années 1980 » (21-22 février 2019, Montpellier).Dans la lignée de ces deux autres manifestations scientifiques, son but était de contribuer à l'histoire des séries américaines, et notamment de celles diffusées sur les grands networks, qui, en France, restent encore beaucoup moins étudiées que celles diffusées sur des chaînes câblées.L'ensemble de ces communications peut être visionné sur la chaîne YouTube de GUEST.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.044 | 0.008 |
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".