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Record W3162284847 · doi:10.1590/2526-8910.ctoao2184

Cultivating social occupations, spaces, and networks: service providers’ perspectives on enabling immigrants’ social participation

2021· article· en· W3162284847 on OpenAlexafffundabout
Suzanne Huot, Jaqueline Brower, Alex Tham, Atieh Razavi Yekta

Bibliographic record

VenueCadernos Brasileiros de Terapia Ocupacional  · 2021
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsImmigrationThematic analysisGovernment (linguistics)Service providerSociologyPublic relationsQualitative researchSocial engagementService (business)Political scienceBusinessSocial scienceMarketing

Abstract

fetched live from OpenAlex

Abstract Introduction Immigrants may experience many barriers to social participation within host societies. Immigrants’ integration into Canadian society is supported through government-funded services. Objective In the present study, we explored the perspectives of service providers working in community organizations regarding their role in enabling immigrants’ social participation through occupations in British Columbia, Canada. Method Representatives from twenty different organizations providing services to the community participated in a constructivist qualitative study aiming to uncover aspects shaping opportunities for occupational participation provided for immigrants. Results Drawing on semi-structured interviews and using thematic analysis, we identified three main themes relating to cultivating social occupations, spaces, and networks. Findings illustrate that service providers’ cultivation of these opportunities can support immigrants’ desired social roles and social identities, further enabling their participation in receiving societies. Conclusion Emphasis upon supporting socio-economic integration into society appears to limit a client-centred approach to developing opportunities for social participation through occupation. Implications for occupational therapists and scientists are discussed.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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 score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.103
GPT teacher head0.447
Teacher spread0.344 · 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

Citations7
Published2021
Admission routes3
Has abstractyes

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