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Record W3213457579 · doi:10.1136/fmch-2021-001031

Critical social framework on the determinants of primary healthcare access and utilisation

2021· article· en· W3213457579 on OpenAlexaff
Mohammad Hamiduzzaman, Anita De Bellis, Wendy Abigail, Amber J. Fletcher

Bibliographic record

VenueFamily Medicine and Community Health · 2021
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsMainstreamHealth careCritical realism (philosophy of perception)SociologyEmpowermentPublic relationsEpistemologyRealismPolitical science

Abstract

fetched live from OpenAlex

This paper aims to contextualise 'healthcare access and utilisation' within its wider social circumstances, including structural factors that shape primary healthcare for marginalised groups. Mainstream theories often neglect complexities among the broader social, institutional and cultural milieus that shape primary healthcare utilisation in reality. A blended critical social framework is presented to highlight the recognition and emancipatory intents surrounding person, family, healthcare practice and society. Using the theoretical contributions of Habermas and Honneth, the framework focuses on power relationships, misrecognition/recognition strategies, as well as disempowerment/empowerment dynamics. To enable causal and structural analysis, we draw on the depth ontology of critical realism. The framework is then applied to the case of rural elderly women's primary healthcare use in Bangladesh. Drawing on the literature, this article illustrates how a blended critical social perspective reveals the overlapping and complex determinants that affect primary healthcare utilisation, before concluding with the importance of situating healthcare access in sociocultural structures.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.180
GPT teacher head0.443
Teacher spread0.264 · 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 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 routes1
Has abstractyes

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