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Navigating “Being Seen”: Experiences of Older Adult Arab Immigrants and Family Caregivers Accessing Health Care Services in Ontario

2025· article· en· W7124989371 on OpenAlexaboutno aff
Selma Tobah, Lorie Donelle, Jodi Hall, Lloy Wylie, Sandra Regan

Bibliographic record

VenueScholar Commons (University of South Carolina) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsGrounded theoryImmigrationHealth careContext (archaeology)Constructivist grounded theoryQualitative researchMainstream

Abstract

fetched live from OpenAlex

Immigrants to Canada face unique barriers to accessing health care including communication barriers, socioeconomic limitations, and a lack of health care system navigation knowledge. Arabs in particular face mainstream negative attitudes, propagated through political discourses as well as entertainment media. We sought to understand how older adult Arab immigrants and family caregivers accessed and experienced health care in Ontario. We conducted a critical constructivist grounded theory, using Charmaz’s approach to grounded theory. A critical constructivist grounded theory method asks not only “what” social processes are happening and “how” but also “why” and “who” benefits. Both older adult immigrant Arabs and family caregivers negotiated their visibility and being seen in the context of accessing health care. The subcategories co-constructed grounded in the data resulted in the grounded theory of being seen. The four subcategories included (1) Being seen as family, (2) Being seen by the Arab community, (3) Being seen in their countries of origin, and (4) Being seen as foreign. We found participants to be describing how and when they are being seen in health care settings, by health care providers, in relation to their diasporic communities, and in the context of their visibility as minorities in Canada. These findings point to the ways in which health care providers can begin to consider Arab older adult immigrants as service users to reduce barriers to service access and delivery.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.285
Teacher spread0.270 · 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 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
Published2025
Admission routes1
Has abstractyes

Explore more

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