Global Promise: Quality Assurance and Accountability in Professional Psychology
Bibliographic record
Abstract
Psychology has become a global profession. Professionals are now readily able to practice in geographic areas which are different far from where they were trained. In practice, psychology has a social contract with the public to promote human and societal welfare, all the while responsible for the constant upkeep of systems that promote, maintain, and demand quality from health care professionals. This book examines the tools needed for evaluating the crucial components of quality assurance—education, training, accreditation and designation, licensing and credentialing, ethics, mobility, and continuing professional development—from an international perspective, with a specific focus on practices in the United States, Canada, the European Union, Latin America, Australia, and The Netherlands and vignettes on the United Kingdom, China and South Africa. Chapters take an international perspective and they synthesize the progress made in implementing quality assurance mechanisms across the globe and offers diverse perspectives as to how the wider international community can promote quality and mobility.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".