Development of a global curriculum for professional psychology: Implications of the Combined‐Integrated model of doctoral training
Bibliographic record
Abstract
This article considers the development of a global training curriculum and qualification in professional psychology, with particular emphasis on the Combined-Integrated (C-I) model. The C-I model exposes professional psychology trainees to two or more of the practice areas (i.e., clinical, counseling, school/educational). The authors argue that the C-I approach is one that is well suited to the development of a global training curriculum due to its emphasis on broadly training psychologists as well as its respect for diversity and integration of various theoretical and professional orientations. A survey of training programs in 16 countries/regions on six continents found significant variation in training, minimal qualifications, and roles of the professional psychologist. The authors recommend that an international group of psychologists develop a regionally flexible, but common, training curriculum and qualification that would include a five- to six-year competency-based qualification. Ways in which the C-I training model may serve to integrate and globalize professional psychology are discussed.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".