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Record W4295080344 · doi:10.11124/jbies-21-00418

Access to health and social services by women living on a low income in Canada: a scoping review protocol

2022· review· en· W4295080344 on OpenAlexaffabout
Martha M. Whitfield, Jennifer Waite, Lenora Duhn, Amanda Ross‐White, Christina Godfrey, Pilar Camargo‐Plazas

Bibliographic record

VenueJBI Evidence Synthesis · 2022
Typereview
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsQueen's University
Fundersnot available
KeywordsCINAHLPsycINFOSocioeconomic statusHealth careGerontologyMedicineMEDLINEPsychologyPsychological interventionNursingEnvironmental healthPolitical sciencePopulation

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this scoping review is to map the current evidence about access to health and social services for women living on a low income in Canada. INTRODUCTION: Women, especially those living on a low income, are disproportionately likely to suffer inequities in access to health and social services. There is insufficient understanding of how the interaction of socioeconomic factors and gender can affect women's access to these services. This review will provide an initial picture of what exists in the literature about access to health and social services for women living on a low income in Canada. The results of this scoping review may be used to inform subsequent qualitative and quantitative reviews on this subject. INCLUSION CRITERIA: Literature addressing access to health and social services by women who are 18 years or older and living on a low income in Canada will be considered for inclusion. Health services will include health promotion and disease prevention; treatment of medical conditions; and rehabilitation, palliative, and end-of-life care. Social services are non-medical services designed to help members of a society who may need extra support or are considered to have social or behavioral risk factors. METHODS: We will search relevant electronic databases (eg, MEDLINE, CINAHL, PsycINFO) and gray literature. The review will include all study designs, including qualitative, quantitative, and mixed methods methodologies (excluding economic analyses or clinical practice guideline development documents). Two reviewers will test the screening criteria and data extraction protocol.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.519
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.064
GPT teacher head0.452
Teacher spread0.388 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2022
Admission routes2
Has abstractyes

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