Bibliographic record
Abstract
Owing to errors made at SAGE, the article ‘Un/veiling Women’s Bodies: Secularism and Sexuality in Full-face Veil Prohibitions in France and Québec’ by Jennifer A Selby, Studies in Religion/Sciences Religieuses, Volume 43, Number 3, September 2014, pp. 439-466, DOI: 10.1177/0008429814526150, appeared without some of the author’s requested changes being added. SAGE apologizes to the author and readers for any inconvenience or embarrassment caused. The changes appear below. Page 440 Introduction, Paragraph 1, Line 11: ‘That is, Government documents in France…’ should read ‘That is, government documents in France…’. Introduction, Paragraph 2, Lines 4-5: ‘…(see also, Asad, 2003; Brown, 2012; Calhoun et al., 2011; Fadil, 2011: 96; Jakobsen and Pellegrini, 2008; Mahmood, 2006: 323, 2009).’ should read ‘…(see also Brown, 2012; Calhoun et al., 2011; Fadil, 2011: 96; Jakobsen and Pellegrini, 2008; Mahmood, 2006: 323, 2009; Asad, 2003). Page 441 First Full Paragraph, Lines 11-12: ‘…Québec’s Council for the Status of Women…’ should read ‘…Québec’s Council on the Status of Women…’. Second Full Paragraph, Line 17: ‘…McAndrew 2001).’ should read ‘…McAndrew, 2001).’. Page 442 Paragraph 2, Line 12: ‘This position has since sharpened as the Parti Québécois (PQ) announced…’ should read ‘This position has since sharpened as the Parti Québécois (PQ) proposed…’. Page 444 First Full Paragraph, Lines 13-14: ‘…on the 2010 Gerin Commission Report,…’ should read ‘…in the 2010 Gerin Commission Report,…’. Page 447 First Full Paragraph, Line 4: ‘Women’s Speech president Olivia Cattan…’ should read ‘Women’s Words president Olivia Cattan…’. Page 454 First Full Paragraph, Lines 5-6: ‘…nor are social issues like financial crises and the rising unemployment rate that disproportionately affects Muslims…’ should read ‘…nor are social issues like financial crises and the rising unemployment rate that disproportionately affect Muslims…’.
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.
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 | 0.004 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.388 | 0.232 |
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".