Sarah Bernhardt à London Ontario (1896, 1910): contextes de sa réception
Bibliographic record
Abstract
Sarah Bernhardt a fait plusieurs tournées nord-américaines qui incluent deux passages à London Ontario (des plaques commémoratives l’indiquent à l’entrée du Grand Théâtre, rue Richmond, ce qui avait fortement intrigué les deux chercheuses adeptes de théâtre). Il s’agit ici d’étudier non seulement la réception enregistrée ou initiée par les journalistes contemporains de ces spectacles (ce qui a été fait) mais d’estimer quel était le degré de francophilie des spectateurs, ce qui pouvait les motiver à aller voir ces spectacles (par exemple, par comparaison à ceux qu’ils recevaient ensuite ou qui enthousiasmaient les hommes d’Église locaux qui avaient plutôt tendance à censurer le théâtre—et les raisons de leur censure), et quel était l’état d’urbanisme et de développement culturel (les lieux du spectacle) conditionnant sa réception, les divisions et périphéries racialisées de la société des colons.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.044 | 0.004 |
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; both teacher heads agree on what is shown here.
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".