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Record W2059621931 · doi:10.1007/s10897-006-9029-4

Games in Clinical Genetic Counseling Supervision

2006· article· en· W2059621931 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

VenueJournal of Genetic Counseling · 2006
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsUniversity of TorontoMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsGenetic counselingInternshipSocializationPsychologyMedical educationMedicineHealth careApplied psychologySocial psychologyGenetics

Abstract

fetched live from OpenAlex

Games are defined as ongoing series of complementary ulterior transactions that are superficially plausible but have a concealed motivation to maximize pay-offs and minimize penalties for the initiator. While some games are harmless and part of socialization, others are destructive. Destructive game-playing in clinical supervision, in which game-playing (initiated by either supervisors or students) interferes with a student's realization of internship goals, has been documented in some allied healthcare professions but has not yet been studied in genetic counseling. Genetic counselors and clinical supervisors of genetic counseling students were anonymously surveyed regarding their experiences with destructive game-playing. Results show that such games do occur in genetic counseling clinical supervision. Some games are the same or similar to ones previously described in other health-care professions; others may be unique to genetic counseling. The purpose of this paper is to document these games as a first step to facilitating dialogue, understanding and awareness of them.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.029
GPT teacher head0.351
Teacher spread0.322 · 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