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Forensics: A Community Clinical Education Pilot Project

2004· article· en· W285715064 on OpenAlexaffabout
Diana Hopkins‐Rosseel, Ravinder Panwar, Judi Laprade

Bibliographic record

VenueJournal of Physical Therapy Education · 2004
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsNatural Sciences and Engineering Research Council of CanadaMedical Council of Canada
Fundersnot available
KeywordsDebriefingRehabilitationPopulationMedical educationMedicineNursingPsychologyPhysical therapy

Abstract

fetched live from OpenAlex

Background and Purpose. Physical therapists (PTs) have been providing services to inmates both inside and outside penal institutions for over 2 decades. The key issue in rehabilitation services in penal institutions is ensuring the practitioner has a sound understanding of the unique culture and environment of the patient population. This population is growing, and there is an increasing need for physical therapy services, yet PTs are either unaware of the opportunities or are concerned about the inherent risks of working with this population. In an effort to meet the growing societal need for physical rehabilitation of inmates while broadening the clinical experiences for PT students and enhancing their professional opportunities, a descriptive pilot project was undertaken to investigate the feasibility of student placements in Canadian federal cor rectional facilities. Case Description. The forensics pilot project was undertaken as one of ten community pilot projects developed by the Ontario Council for University Programs in the Rehabilitation Sciences to enhance clinical education for students in the rehabilitation disciplines. Four PT student volunteers were selected to undertake a 2:1 supervision model, 5-week clinical placement at one of two penitentiaries. The students underwent special training, had an extensive preplacement orientation, and attended weekly debriefing sessions. Outcome measures included preplacement and postplacement reflection questions, student journals, exit questionnaires (given to both students and clinical instructors [CIs]), weekly debriefing sessions, Queen's University midterm and final student clinical performance instruments and site evaluation forms, and a midterm telephone interview. Outcomes. It was demonstrated that implementation of student forensic clinical placements is feasible and that the benefits of the learning experience far outweighed the risks and limitations of the placement. Students performed well clinically while demonstrating significant changes in professional attributes and generic behaviors. Discussion. The academic coordinator of clinical education (ACCE), both CIs, and all four students concur red that the placement of PT students in penal institutions is a “value added” experience for the students demanding more flexible, innovative treatment approaches and more sensitive interpersonal communication and interaction skills. Student prejudices and biases brought into the placement were replaced by more open-minded, thoughtful, and impartial qualities. Recommendations include establishing forensic placements for intermediate and senior students, expanding the preplacement orientation, and developing advanced forensic placement handbooks.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.015
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0090.004
Scholarly communication0.0020.002
Open science0.0050.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.335
GPT teacher head0.621
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2004
Admission routes2
Has abstractyes

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