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Record W2939742007 · doi:10.1177/2158244019841922

Research Practicum: An Experiential Model for Social Work Research

2019· article· en· W2939742007 on OpenAlexaff
Christine A. Walsh, Carolyn Gulbrandsen, Liza Lorenzetti

Bibliographic record

VenueSAGE Open · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPracticumMentorshipExperiential learningPsychologyExploratory researchSocial cognitive theorySocial skillsPedagogyMedical educationSocial psychologySociology

Abstract

fetched live from OpenAlex

Research training is a key area of social work education and integral to the success of future practitioners. Innovative pedagogical models for teaching research have been proposed, including those based on experiential approaches. This exploratory study evaluated a research practicum (RP) model for social work students. The intended outcome of the study was to develop, implement, and evaluate a comprehensive model for RP that encompasses experiential, cognitive, relational, and affective dimensions of learning. In total, 16 students and 14 instructors completed an online survey and open-ended questions about their experiences. Mentorship was identified as a key component facilitating student learning during the RP across cognitive, affective, behavioral, and relational dimensions. Mentoring provided students in this study with modeling, guidance, and scaffolding; offering a secure foundation for developing their research skills; and envisioning themselves as researchers. The findings suggest that a RP can provide students the setting in which to develop a broad range of skills and competencies in social work research.

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)0.026
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.026
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.010
Scholarly communication0.0080.007
Open science0.0030.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.002

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 head0.468
GPT teacher head0.624
Teacher spread0.155 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations17
Published2019
Admission routes1
Has abstractyes

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