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Making Sense of Client Data: Clinical Experience and Confirmationism Revisited

2006· article· en· W335635667 on OpenAlex
Ingrid E. Sladeczek, Frank Dumont, Chantal A. Martel, Anastasia Karagiannakis

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

VenueAmerican Journal of Psychotherapy · 2006
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsMcGill University
Fundersnot available
KeywordsMultivariate analysis of variancePsychologyThink aloud protocolAffect (linguistics)Situational ethicsPraxisSocial psychologyVariance (accounting)Clinical psychologyApplied psychologyComputer science

Abstract

fetched live from OpenAlex

The purpose of this study was to examine if the order in which case file material is presented to clinicians and length of clinical experience affect clinical judgment. Using think-aloud procedures, 36 clinicians (trainees and veterans) diagnosed the case files of a middle-aged hospital outpatient. In one version, a neutral but vivid datum was placed near the start; in the second version it was placed toward the end. Protocols generated were coded on the dependent variables, confirmation and disconfirmation of earlier inferences, and dispositional and situational inferences. MANOVA results indicate that there is an interactive order-by-experience effect on proportion of confirmatory inferences articulated by participants. Other analyses indicate that order of information presentation but not level of practitioner experience is related to the variance in the proportion of contextual and dispositional inferences articulated by participants. Implications for praxis and for training programs are examined.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.086
GPT teacher head0.466
Teacher spread0.380 · 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