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Record W4298289491 · doi:10.46692/9781447333371.015

Readiness and regulation: perspectives of Canadian stakeholders on the labour mobility of internationally educated social workers

2018· other· en· W4298289491 on OpenAlexaboutno aff
Marion Brown, Annie Pullen Sansfaçon, Kate Matheson

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicResearch in Social Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsLabour economicsBusinessSocial mobilityMigrant workersOccupational mobilityDemographic economicsEconomic growthSociologyEconomicsSocial science

Abstract

fetched live from OpenAlex

Background While the scholarly literature is sparse on data and analyses from social work employers in Canada, anecdotal accounts suggest that they are eager to hire social workers who come to the field of practice as seasoned professionals in both substantive content and contextual knowledge. They cite the fast pace of the work environment, the narrowing of service provision to only the most complex situations and dynamics, and the volume of the work as the driving forces behind needing new hires to ‘hit the ground running’ (Newberry-Koroluk, 2014). There is little time or energy for an accompanying adaptation process. These stories are not surprising given that, over the past 35 years, Canadian social work has been restructured to parallel the capitalist premises that good social welfare policy and programming is that which is productive and cost-efficient, with a focus on individualism and autonomy not only for service recipients, but also for employees. The joint ideologies of neoliberalism and economic rationalism prioritise productivity and deliverables, documentation, and external accountability. This is the context in which social work employers govern agency work, and into which internationally educated social workers enter when they arrive in Canada seeking to work in the field. Similarly, there is little documentation on the experiences of regulators of the profession, those charged under legislation to enact the social work statutes in every province of Canada. As a self-regulating profession, the primary obligation is the protection of the public, which rationalises the driver for the uniformity of expectation and measurement of competence. In this chapter, we present data from both employers and regulators and seek to bring together their priorities and needs relative to the adaptation processes of internationally educated social workers. Method As part of a four-year federally funded study, Canadian researchers Pullen Sansfaçon et al engaged in qualitative interviews with 66 internationally educated social workers and held two Knowledge Exchange Fora (KEF), in Montreal and Halifax, respectively (Pullen Sansfaçon et al, 2012, 2014; Brown et al, 2015; Fulton et al, 2016). The KEF gathered social workers, both internationally and domestically educated, social work supervisors and employers, and representatives from the Quebec and Nova Scotia regulatory bodies. Data were collected via individual written reflections and focus group discussions. Focus group discussions were transcribed and analysed as components of the full data.

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.443
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.120
GPT teacher head0.379
Teacher spread0.260 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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