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Record W4381893663 · doi:10.1080/08841233.2023.2210326

New Directions in Social Work Field Education in Canada: Promising, Wise, and Innovative Practices

2023· article· en· W4381893663 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Teaching in Social Work · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSocial workGraduation (instrument)SociologyMedical educationPublic relationsField (mathematics)Work (physics)PedagogyPolitical scienceMedicineEngineering

Abstract

fetched live from OpenAlex

Field education provides students with the opportunity to supplement classroom learning with the hands-on practice needed to be successful after graduation. However, in recent years, field education has encountered several challenges including a changing societal environment, placement scarcity in the face of increased enrollment, and strict guidelines for the provision of adequate supervision. In response to these challenges, semi-structured qualitative interviews with 35 social work field education coordinators, directors, faculty liaisons, field instructors and field supervisors were conducted throughout the prairie region of Canada between July and December of 2020. These interviews were aimed at determining innovative, promising, and wise practices that would address the various challenges in the provision of field education while also providing a pathway forward to the transformation of more sustainable social work field education practices. Findings indicate that there is a need for additional supervision strategies and increased flexibility within field placements, as well as a greater focus on the need for decolonization within the social work field education sphere. The emergence of COVID-19 was also discussed as both an exasperating factor within the current field education system while simultaneously creating an opportunity to reevaluate and restructure current field education practices.

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.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.007
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.047
GPT teacher head0.409
Teacher spread0.362 · 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