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Record W7063705852

ADAPTATION AND SURVIVAL STRATEGIES OF REFUGEE WOMEN WITH DISABILITIES IN SASKATOON, CANADA.

2018· dissertation· en· W7063705852 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeImmigrationCoping (psychology)AcculturationQualitative researchAdaptation (eye)
DOInot available

Abstract

fetched live from OpenAlex

In their everyday lives, persons with disabilities are given the societal message that they are lesser human beings (Ingstad and White, 1995; Garland-Thompson, 2017). Although both men and women with disabilities experience different levels and variable forms of discrimination, disability disadvantages women more than men (Dossa, 2006; Dossa, 2009; El-Lahib & Wehbi, 2009). Women who have disabilities have fewer opportunities for education and work, and fewer chances of marriages compared to their male counterparts (Emmett & Alant, 2016; Prince, 2006; Siebers, 2013). These disadvantages are compounded for refugee women because a sense of belonging for refugee women with disabilities is determined by a complex interaction of personal characteristics, pre and post-migration experiences, and wider societal influences (Dossa, 2009). This research explored the experiences of refugee women with physical disabilities who have immigrated to Saskatoon. This thesis examines their stories to reflect on ways in which disability is understood and negotiated in the processes of immigration and re-settlement. The research also studied the needs and challenges refugee women with disability encounter settling and integrating into Saskatoon, and the coping strategies that they adopted. As the migration experience is gendered and affected by a number of factors, an intersectional analysis is employed to interrogate the various mediating factors in Canada. Feminist standpoint theory informs both the methodological approach and analysis of the experiences of integration of women with disabilities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.232
Teacher spread0.221 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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