“Sticking to their knitting?” A content analysis of gender in Canadian newspaper op-eds
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The largest content analysis of Canadian op-ed newspaper content, 80 published articles in the 2009 print editions of Canada’s two largest circulation newspapers (the Toronto Star and the Globe and Mail), reveals a significant imbalance in male (80%) v. female (20%) authorship. Analysis found women authors were even more unrepresented in op-ed article that dealt with “hard news” issues such as politics, international affairs and economics (10%). In addition, analysis showed a pattern of male hard news authors freely venturing into op-ed authorship of “social” issues but the reverse pattern was not apparent among female op-ed authors finding space to write on political and economic issues. The results are contradictory to historically stated rationales for establishing op-ed space in newspapers and other media, namely to provide alternative perspectives on the traditional mass media coverage of current events. ©Journal of Professional Communication, all rights reserved
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it