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The risks and benefits of being a young female adolescent standardised patient

2005· article· en· W2058403943 on OpenAlexaff
KD Blake, Joanne Gusella, S Greaven, S. Wakefield

Bibliographic record

VenueMedical Education · 2005
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsPsychologyMEDLINEMedicineFamily medicineMedical educationPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: To follow the progress of young female adolescents, as risk-taking standardised patients (SPs), and to monitor for adverse affects that role-playing may have on the adolescents. METHODS: A prospective design was used in which 11 female adolescents, aged 13-15 years, were recruited from 2 schools. The adolescents were trained to portray risk-taking individuals with a medical condition and were interviewed with their SP mother by final-year medical students 1-3 times a month over 6-14 months. A control group was selected from both schools (n = 6). Main outcome measures were pre- and post-interviews using standardised questionnaires [Achenbach's Youth Self-Report (YSR) and Piers Harris Children's Self Concept Scale (SCS),] and focus groups. RESULTS: The adolescent group simulated 111 interviews (mean per adolescent 10.1, SD = 6.2) each lasting 60-70 minutes. QUANTITATIVE DATA: The pre- and post-scores from the YSR and SCS demonstrated no significant differences within the SP study participants or between the control group vs. the study group. FOCUS GROUP FINDINGS: The initial focus group acted as a debriefing exercise and prompted the adolescents to request that they come out of their role when giving feedback. Subsequent focus group discussion was around the medical student performance and their family doctors. CONCLUSION: Adolescent females showed no adverse effects when used extensively to portray risk-taking SPs. The focus groups provided the adolescents with an opportunity to debrief together. The adolescent SPs reported benefiting from this study but requested unanimously that they come "out of character" when giving feedback to the medical students.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.074
GPT teacher head0.444
Teacher spread0.370 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations33
Published2005
Admission routes1
Has abstractyes

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