« Un seul oiseau en cage / La liberté est en deuil »
Bibliographic record
Abstract
« Un seul oiseau en cage / La liberté est en deuil » (Jacques Prévert) Concours de twittérature (Semaine de la Francophonie 2017) Pour célébrer la Semaine de la Francophonie 2017, le service culturel de l’Ambassade de France au Canada a lancé en mars dernier un concours de twittérature, autour de la figure du poète et artiste français Jacques Prévert, disparu il y a tout juste quarante ans. En 140 signes maximum – incluant le mot dièse #Prévert et le tag @francetoronto – élèves, enseignants, parents, poètes en herbe comme poètes confirmés, ont pu laisser libre cours à leur imagination en répondant au vers de la plume de Prévert – « Un seul oiseau en cage / La liberté est en deuil » – à partir de leur compte Twitter.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.040 | 0.015 |
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".