Bibliographic record
Abstract
Tout au long de la grève générale étudiante et de la campagne électorale québécoise de 2012, un phénomène fascinant s’est produit sur Twitter que j’appelle la Grande Noirceur et Révolution tranquille 2.0. Du 16 mai au 12 septembre 2012, j’ai relevé 6 000 tweets qui évoquent le souvenir de la Grande Noirceur et de la Révolution tranquille. J’ai constaté à quel point Twitter est un médium privilégié pour étudier ces questions sensibles touchant à la mémoire collective, aux usages du passé et au rapport au passé. Limités à seulement 140 caractères, les utilisateurs doivent être synthétiques, d’où le recours à ces images signifiantes dans l’imaginaire collectif québécois. Revenant sur mon parcours, je chercherai à répondre à la question suivante : Comment travailler la mémoire sur 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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".