Bibliographic record
Abstract
The title of Ewa Mazierska and Elżbieta Ostrowska's Women in Polish Cinema designates an area of film studies doubly neglected. In the field of Polish cinema studies, itself marginal territory, there has been scant attention paid to gender issues. The authors lay much of the blame for this at the feet of Polish film scholars themselves, resistant to gender studies out of an all too symptomatic hostility towards feminism as an alien, "corrupting Western influence". Attempting significantly to redress this situation, the authors establish a twofold purpose: to assess the representations of women onscreen and to reassess the place within Polish cinema of women behind the camera. Their analysis mediated by a strong sense of national specificity, Mazierska and Ostrowska reveal the range of historical, political and religious factors that have determined (indeed sometimes over-determined) constructions of femininity in Polish culture and film....
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".