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Record W2204004960 · doi:10.19030/cier.v3i9.230

Enhancing Social Work Research Education Through Research Field Placements

2010· article· en· W2204004960 on OpenAlexaffabout
Jennifer Hewson, Christine A. Walsh, Cathryn Bradshaw

Bibliographic record

VenueContemporary Issues in Education Research (CIER) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPracticumFocus groupSocial workQualitative researchPsychologyMedical educationPedagogyPublic relationsSociologyMedicinePolitical science

Abstract

fetched live from OpenAlex

The increase focus on the role of research in the social service sector, pressure for practitioners to engage in research and the demand for integration of research and practice challenges faculties about ways in which to engage social work students in research. This paper evaluates a research based practicum program within a social work faculty at one Canadian university aimed at meeting this need. The objectives of the practicum include providing opportunities to integrate research theory/methods with practice; develop a broad range of research knowledge and skills; reduce negative stereotypes; instill passion and excitement for research; and connect students with agencies to engage in community based research. The mixed methods evaluation of the practicum included semi-structured qualitative interviews with former and current directors (n=2); an online survey with past practicum students (n=15); and a pre- and post-test attitude/skills assessment, a self reflection journal exercise, and a focus group with students currently in practicum (n=7). Findings suggest benefits of the research practicum across stakeholders as well as several challenges and opportunities for program enhancement. Research practicum is an innovative way of engaging students in applied research which can augments research capacity, mitigate negative stereotypes about research, and better prepare future social work practitioners.

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)0.041
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.625
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0410.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.011
Science and technology studies0.0080.002
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0070.002

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 head0.242
GPT teacher head0.587
Teacher spread0.346 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations21
Published2010
Admission routes2
Has abstractyes

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