MétaCan
Menu
Back to cohort
Record W1743316954 · doi:10.3233/wor-121511

The influence of environment on the fieldwork experience: Exploring interprofessional student perspectives

2013· article· en· W1743316954 on OpenAlexaff
Susan Mulholland, Mark Hall

Bibliographic record

VenueWork · 2013
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDeskDescriptive statisticsPerceptionPsychologyMedical educationQuality (philosophy)Occupational therapyQualitative propertyPosition (finance)PedagogyMedicineComputer science

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the impact and importance of the physical, social and institutional environments on the outcome of their first fieldwork experience from the perspectives of occupational therapy (OT) and physical therapy (PT) students. PARTICIPANTS: Eighty two percent (n=84) of OT and 65% (n=51) of PT students completed the survey. The majority of students were female, aged 20-25 years, and supervised using a one student to one educator supervision model. METHODS: A paper survey was mailed to all OT and PT students during their junior fieldwork placement. Demographic, nominal score data and responses to closed-ended questions generated descriptive statistics. Qualitative data resulting from the open-ended questions underwent content analysis. RESULTS: OT and PT students' fieldwork experiences and perceptions of their environment were remarkably similar, however, OT students indicated the physical environment (e.g., having a desk, access to a computer) and orientation (e.g., having a tour) were more important to their impressions of the placement as positive. CONCLUSIONS: By knowing how the environment impacts the fieldwork experience for students, stakeholders involved in the fieldwork process are in a better position to identify and be proactive in making changes to improve placement quality.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.125
GPT teacher head0.468
Teacher spread0.343 · 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.

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

Citations7
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueWorkSame topicOccupational Therapy Practice and ResearchFrench-language works237,207