‘Trying to talk white male teenagers off the alt-right ledge’ and other impacts of masculinist influencers on teachers
Bibliographic record
Abstract
Teachers are deeply affected by the same cultural influences as their students; directly and indirectly. This is certainly true in the rise of masculinity influencer, extremist, and alleged sex trafficker Andrew Tate and the brands of individual and cultural misogyny he perpetuates. Using data collected from the /r/Teachers subreddit community of Reddit.com, we explored how users discussed the influences of a (re)surging misogyny on the jobs of teachers and in classrooms. Users express that students are actively parroting male supremacist rhetorics at school and that is serving to devalue women teachers and make classrooms less safe. Discussion is framed using Deleuzian and masculinities theories to provide deeper analysis and interpretation of the data. We suggest that there is cause for concern regarding the immediate impacts, as well as long-term consequences of masculinist and male supremacist ideologies on youth, teachers, and schools.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".