Bibliographic record
Abstract
The primary purpose of the current study was to determine the degree, if any, to which gender stereotypes are reflected within the criteria of DSM-IV Axis II Personality Disorders (PDs). Participants consisted of 73 university undergraduate students (33 males and 40 females), who were instructed to sort each of the 91 PD criteria, presented individually on index cards, along a dimension of masculine to feminine. A secondary aim was to determine if participants who were instructed to sort the cards into five piles ranked the criteria differently from those participants who were free to sort the criteria into as many piles as they felt were necessary to complete the task. Results revealed no significant gender weighting of PDs, but suggest trends towards rating Antisocial and Schizoid PDs as male-typed disorders and Dependent, Histrionic and Avoidant PDs as female-typed disorders. Implications and limitations of the current research are discussed.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2001 .H65. Source: Masters Abstracts International, Volume: 40-06, page: 1619. Adviser: Cheryl Thomas. Thesis (M.A.)--University of Windsor (Canada), 2001.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".