The Second Sex of Tomorrow? Constructions of Masculinity in the Moral Panic About Boy's Education. A Content Analysis of Canadian News Media
Bibliographic record
Abstract
Based on qualitative content analysis of articles in ten major Canadian newspapers between 1990 and 2011, this thesis asks how masculinity is represented in discourses about gender and education. My analysis suggests that the public discourse about boys' education is out of touch with scholarly research, and instead relies on a number of problematic tropes: (1) Schools are imagined as being run for girls and by female educators devoted to an anti-male agenda; (2) education is seen as a zero-sum game, in which what benefits girls must be necessarily bad for boys; (3) boys are being constructed as one homogenous group that is inherently different from girls, while any diversity among boys, especially in terms of race and class, is erased. I argue that the panic about boys' education must be understood as a backlash against feminism, based on a misreading of economic transformations through a gender lens.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".