La ville au cœur de la nation : l’utilisation du passé dans l’élaboration de l’identité urbaine
Bibliographic record
Abstract
La ville au cœur de la nation : Vutilisation du passé dans Vélaboration de Videntité urbaine1 Harold Bérubé Résumé Les cérémonies commémoratives entourant le centenaire de Vincorporation de Toronto (1934) et le tricentenaire de la fondation de Montréal (1942) sont l’occasion d’élaborer des discours qui témoignent de l’importance de l’expérience urbaine dans l’élaboration et la transformation des identités nationales au 20e siècle. Le rabbin Maurice N. Eisendratb et l’abbé Lionel Groulx prononcent, à quelques années d’intervalle, des communications qui mettent le passé au service du présent et de l’avenir, dans le but défaire la promotion d’une identité urbaine, garante de l’épanouissement de leur nation respective. Au delà des divergences entre les hommes et leurs idéologies, des points de convergence fondamentaux apparaissent. Ainsi, tous deux utilisent des stratégies discursives analogues, dans le but ultime de lier un présent incertain à un passé «fort », pour forger et renforcer l’identité collective, tant urbaine que nationale.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.030 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".