Differences Between Canadian Psychological Association Nonmember and Member Counseling Psychologists
Bibliographic record
Abstract
Generalizations about Canadian counseling psychologists have been based on research that samples members of the Canadian Psychological Association (CPA), leading to questions about the extent to which this portrayal of the profession is accurate. In this exploratory study, answers to a 61-item questionnaire representing 86 variables were compared between 78 Canadian counseling psychologists who were members of the CPA and 107 Canadian counseling psychologists who were not members of the CPA. Inferential analyses found that CPA-member and nonmember counseling psychologists differed significantly on 11 of the 86 variables assessed, indicating that the currently available portrayal of Canadian counseling psychologists used by licensure bodies, professional associations, academic programs, instructors, and researchers is not wholly accurate. Reliance on inaccurate information about the profession can hinder the future development of Canadian counseling psychology as its members strive to meet the needs of counseling psychology students, counseling psychology professionals, and the populations they serve.
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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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".