Factors affecting occupational therapists’ decision to join their regional professional association
Bibliographic record
Abstract
BACKGROUND: Voluntary occupational therapy organizations fill an important role. However, recruitment and retention can be problematic. Little is known about factors influencing occupational therapists to join/maintain membership in professional associations. PURPOSE: This study investigated factors influencing occupational therapists' decision to join/remain members of their association. METHOD: An electronic survey was carried out and data were analyzed using SPSS software and manual categorization of open-ended comments. FINDINGS: Two hundred and fifty-four therapists responded. Generation of new ideas, opportunities for professional development, self-improvement, maintenance of standards, improvement of the profession, and discounts on equipment/educational opportunities were significant factors in deciding to join the organization. The factors perceived as priorities varied in relation to participants' year of graduation. IMPLICATIONS: More-customized strategies, reflecting priorities that vary during a therapist's career path, may need to be employed to best address recruitment and retention across the range of therapists' needs and goals.
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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 | 0.008 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".