RUNNING HEAD: Facilitating Practitioner Knowledge Facilitating Practitioner Knowledge 2
Bibliographic record
Abstract
Working counsellors and therapists most often work in relative isolation, meeting to report on “cases ” at best but rarely witnessing their colleagues ’ work. Annual allocations for professional development, if they are available at all, typically lead to practitioners enrolling in disparate trainings offered by a variety of experts often disconnected from front line work. Alternately, all workers in an agency or region are given a one-size-fits-all training. Either way, the professional development is only temporarily energizing and learnings quickly dissipate without the opportunity for ongoing dialogue within a community of learners. This compartmentalization of professional development squanders the opportunity for lateral knowledge exchange among practitioners and increases the chances of burnout associated with professional isolation. This paper describes how the dilemmas have been addressed through the formation of inter-agency “collaborative practice groups ” of therapists and counsellors in Ottawa, Canada. Facilitating Practitioner Knowledge 3
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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 | 0.019 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.002 | 0.022 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.132 | 0.031 |
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".