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Record W4376128573 · doi:10.1177/21677026231156598

Inclusion of Trainee Stakeholders Is Necessary for Effective Change in Health-Service-Psychology Internship Training

2023· article· en· W4376128573 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Psychological Science · 2023
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsUniversity of Calgary
FundersNational Institute on Alcohol Abuse and Alcoholism
KeywordsInternshipPsychologyInclusion (mineral)Training (meteorology)Applied psychologyService (business)Medical educationSocial psychologyMedicine

Abstract

fetched live from OpenAlex

In a recent call to action, we described pressing issues in the health-service-psychology (HSP) internship from the perspective of interns. In our article, we sought to initiate a dialogue that would include trainees and bring about concrete changes. The commentaries on our article are a testament to the readiness of the field to engage in such a dialogue, and we applaud the actionable recommendations that they make. In our response to these commentaries, we seek to move the conversation further forward. We observe two themes that cut across these responses: the impetus to gather novel data on training (the "need to know") and the importance of taking action (the "need to act"). We emphasize that in new efforts to gather data and take policy-level action, the inclusion of trainee stakeholders (as well as others involved in and affected by HSP training) is a crucial ingredient for sustainable and equitable change.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.959
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.625
GPT teacher head0.596
Teacher spread0.029 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it