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Record W4297880046 · doi:10.2174/18749445-v15-e2206271

A Narrative Review of the Disenfranchisement of Single Mothers in Highland Ecuador

2022· review· en· W4297880046 on OpenAlexaff
Lisbeth A. Pino Gavidia, Joy C. MacDermid, Laura Brunton, Samantha Doralp

Bibliographic record

VenueThe Open Public Health Journal · 2022
Typereview
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsSt Joseph's Health CareWestern University
Fundersnot available
KeywordsLivelihoodPovertyEconomic growthPsychological interventionContext (archaeology)Public healthSocial determinants of healthNarrativeRural areaInequalityPolitical scienceSocioeconomicsDevelopment economicsSociologyAgricultureHealth carePsychologyGeographyEconomicsMedicine

Abstract

fetched live from OpenAlex

Background: The Andean South American country of Ecuador presents social challenges that contribute to inequities. The social determinants of health have impacts on the physical, psychological and social health of individuals across all societies. Ecuador is an example of how the interactions of gender roles and social determinants of health impact the health of single mothers and their children. Methods: A retrospective historical literature review was conducted on gender role expectations within the rural context Ecuador to inform future public health strategies and health interventions. Results: Gender inequality contributes to higher rates of single parenting, child labour, and migration. Food insecurity and poverty are affected through the interface of economic hardships and rural agricultural livelihoods. Conclusion: The disenfranchisement of poor rural women in Ecuador is deeply rooted in historical gender discrimination, societal attitudes, and institutionalized gender bias that incur onto the society as a whole in terms of becoming less protectors and producers of human resources. The health of single mothers and children living in poverty and their ability to create a healthy family environment will not improve until women explore their productivity and creativity amid social tensions and livelihood struggles.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.494
GPT teacher head0.550
Teacher spread0.056 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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