Bibliographic record
Abstract
Over the past two decades the practice of Muslim women’s veiling has caught a great of deal of attention of those concerned with women’s rights. The debate on the Muslim veiling has yielded two contradictory explanatory frameworks; whereas some scholars regard the practice of veiling as a symbol of women’s oppression as, they believe, it renders the women to stay out of the public sphere; the second framework, which is mostly advocated by Islamic feminists, explains the practice of veiling as a tool of “liberation ” for the women as, they argue, it allows the women to get access to the public sphere in societies wherein such access would not have been possible otherwise. By taking up some of the recurrent themes in the debate on Muslim veiling, this paper argues that in order to be able to understand the practice of veiling we need to pay attention to the voices of the upholders of this practice. Introduction: Adopting the Veil Women’s veiling has been one of the most debated issues among scholars concerned with women`s rights. In academic circles, the whole debate surrounding
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.026 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".