Bibliographic record
Abstract
In 2017, the #metoo movement lead to the denunciations of public and private figures around the world. In the aftermath of the movement's various waves, media coverage of sexual assault gained considerable traction due to the popularity of the movement. In Canada, journalists gave voices to the victims, while exposing the abusers. Quebec stands apart from the rest of Canada, due to its historical and social context. Based on a social construction and critical feminism approach, media coverage in Quebec newspapers at the time of the first #metoo wave in 2017, as well as its successor in 2020 was analysed. This study shows that there was an evolution in the newspaper coverage of the movement between 2017 and 2020. Journalists were dealing with two different types of waves, which reflected in their coverage. Between both time periods, media coverage of the victims' public denunciations led to increased indignation towards rape culture, heightened concern about cancel culture, a need for better education and criticism of the justice system. Keywords metoo, Quebec, ledevoir, lapresse, lejournaldemontreal, metro, rozon, sexualassault, lacroix, rape
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".