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Record W7117374814 · doi:10.1177/03080226251403332

Development of student self-efficacy in innovative fieldwork placements: A qualitative study

2025· article· en· W7117374814 on OpenAlexaff
Mackenzie Cheng, Felicity Niles-Williams, Andrea Duncan, Anne Hunt

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2025
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsCLARITYOccupational therapyQualitative researchThematic analysisMeaning (existential)Context (archaeology)

Abstract

fetched live from OpenAlex

Introduction: Self-efficacy plays an integral role in the development of occupational therapy students' clinical competency during fieldwork education. However, there is still a lack of knowledge surrounding this topic within the context of non-traditional fieldwork education. This study aims to investigate and make meaning of the experiences of occupational therapy students' and their perceived development of self-efficacy in non-traditional fieldwork placements, known as LEAP placements. Method: This qualitative phenomenology study, through a descriptive lens, explored sixteen occupational therapy students' experiences using thematic analysis. Findings: Self-efficacy during LEAP placements was shaped by several factors: a lack of role clarity detracted from development, while the opportunity for self-direction enhanced it. The level of support, preceptor role and availability, perceived value of the learning experience, and placement environment both enhanced and detracted from self-efficacy development. Conclusion: This study provides an increased understanding of self-efficacy development among occupational therapy students and innovative practices within LEAP placements. Students' perceptions of self-efficacy development is shaped by complex and nuanced factors.

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)0.005
metaresearch head score (Gemma)0.000
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 score0.389
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.248
GPT teacher head0.587
Teacher spread0.339 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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