The intersections of masculinities and work among older men who experience depression
Bibliographic record
Abstract
Journal of Men's HealthVol. 7, No. 3 ISMH Congress 2010 AbstractsThe intersections of masculinities and work among older men who experience depressionISMH World Congress 2010 Abstract 036John L. Oliffe, Joan L. Bottorff, John S. Ogrodniczuk, Brian Rasmussen, Mary T. Kelly, and Alison PhinneyJohn L. OliffeUniversity of British Columbia, School of Nursing, Vancouver, CanadaSearch for more papers by this author, Joan L. BottorffUniversity of British Columbia Okanagan, School of Nursing, Kelowna, CanadaSearch for more papers by this author, John S. OgrodniczukUniversity of British Columbia, Department of Psychiatry, Vancouver, CanadaSearch for more papers by this author, Brian RasmussenUniversity of British Columbia Okanagan, School of Social Work, Kelowna, CanadaSearch for more papers by this author, Mary T. KellyUniversity of British Columbia, School of Nursing, Vancouver, CanadaSearch for more papers by this author, and Alison PhinneyUniversity of British Columbia, School of Nursing, Vancouver, CanadaSearch for more papers by this authorPublished Online:18 Nov 2013https://doi.org/10.1016/j.jomh.2010.09.037AboutSectionsView articleView Full TextPDF/EPUB ToolsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View article"The intersections of masculinities and work among older men who experience depression." Journal of Men's Health, 7(3), p. 292FiguresReferencesRelatedDetails Volume 7Issue 3Oct 2010 InformationWPMH GmbHTo cite this article:John L. Oliffe, Joan L. Bottorff, John S. Ogrodniczuk, Brian Rasmussen, Mary T. Kelly, and Alison Phinney.The intersections of masculinities and work among older men who experience depression.Journal of Men's Health.Oct 2010.292-292.http://doi.org/10.1016/j.jomh.2010.09.037Published in Volume: 7 Issue 3: November 18, 2013PDF download
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".