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Record W2904342634 · doi:10.1177/0020872818818660

Social work education in action: How studying for the profession facilitates the adaptation of internationally educated social workers in Canada

2018· article· en· W2904342634 on OpenAlexafffundabout
Annie Pullen Sansfaçon, Marion Brown

Bibliographic record

VenueInternational Social Work · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsDalhousie UniversityUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSocial workAdaptation (eye)NegotiationTransferabilitySociologyPublic relationsAction (physics)Work (physics)PedagogyProcess (computing)Professional developmentEngineering ethicsPsychologyPolitical scienceSocial scienceEconomic growth

Abstract

fetched live from OpenAlex

This article presents the results and theorization of a 4-year Grounded Theory project that sought to understand the processes and dynamics involved in the professional adaptation of internationally educated social workers now practicing in Canada. In-depth interviews with 66 participants, who undertook social work education outside of Canada and have subsequently settled to practice in the country, were conducted. Results highlight that the social work educational background of the professionals not only offers key conceptual, theoretical, and analytical foundations needed to adapt knowledge and skills to practice abroad, but also provides tools to navigate and negotiate professional adaptation processes as a whole. We conclude that ultimately, social workers may adapt well to their new work contexts because of the transferability of social work skills, knowledge, and values to new practice settings, thus facilitating interventions with services users and also their own process of professional adaptation.

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.089
GPT teacher head0.413
Teacher spread0.324 · 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

Citations2
Published2018
Admission routes3
Has abstractyes

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