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Record W4239343204 · doi:10.1201/b13499-13

Competence assessments

2003· book-chapter· en· W4239343204 on OpenAlexaboutno aff
Robert Weinstock, Gregory B. Leong, J Silva

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyCompetence (human resources)Medical educationMedicineSocial psychology

Abstract

fetched live from OpenAlex

Over the past twenty-five years, education and certification in forensic psychiatry have grown more uniform and systematic. In 1982, the American Academy of Forensic Sciences (AAFS) and the American Academy of Psychiatry and the Law (AAPL) cosponsored a report, entitled Standards for Fellowship Programs in Forensic Psychiatry (AAFS-AAPL Joint Committee 1982). That report fostered a common didactic and experiential core in training programs in the United States and Canada. The creation, in 1988, of the Accreditation Council on Fellowships in Forensic Psychiatry (ACFFP), a semi-autonomous component of AAPL, furthered that end by creating a process to distinguish training programs that met the Standards for Fellowship Programs in Forensic Psychiatry from training programs that did not meet the Standards. The ACFFP accredited fellowships from 1989 until 1997. Midway through 1997, the ACFFP was supplanted by the Accreditation Council for Graduate Medical Education (ACGME). There has been a corresponding change in nomenclature, i.e., the ACFFP referred to forensic training programs as fellowships, whereas the ACGME refers to forensic training programs as residencies. As of July, 2002, the ACGME had approved thirty-eight forensic residency programs (with a total of ninety-two trainee positions) as meeting its criteria for accreditation (ACGME 2002).

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.833
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0970.007

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 head0.070
GPT teacher head0.378
Teacher spread0.308 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2003
Admission routes1
Has abstractyes

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