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Record W4256355366 · doi:10.22215/etd/2015-11031

The everyday health geographies of Bhutanese and Nepalese migrants in Ottawa: health, wellbeing and therapeutic networks

2015· dissertation· en· W4256355366 on OpenAlexaffabout
Asli Mahdi

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsCarleton University
Fundersnot available
KeywordsReflexivityQualitative researchNarrativeGender studiesPerceptionSociologyLived experiencePsychologySocial science

Abstract

fetched live from OpenAlex

The health geographies of migrants have been little explored in geography, and there has been little effort to define health and wellbeing, especially among racialized peoples, in the literature. My research examined perceptions of health and wellbeing through semistructured interviews with Nepalese and Bhutanese migrants in Ottawa. I suggest these narratives of health, which capture premigration memories in postmigration contexts, should be seen by researchers as a form of health knowledges and lived experiences. This study also acknowledged issues with recruitment, addressing researcher self-esteem, as well as reflexivity in qualitative research. Overall, this study furthers research on the everyday health geographies of migrant groups in Canada, highlighting how health and wellbeing can be differently experienced.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0180.012
Scholarly communication0.0050.002
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.342
Teacher spread0.325 · 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 designQualitative
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

Citations1
Published2015
Admission routes2
Has abstractyes

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