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Record W1524640347

A critical and participatory approach to gender equity among youth in Kibera, Kenya

2009· article· en· W1524640347 on OpenAlexfundno aff
Cheryl Scott Williams

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
FundersUniversity of Saskatchewan
KeywordsGender equityCitizen journalismEquity (law)Participatory action researchPolitical scienceSociologyEconomic growthGender studiesEconomics
DOInot available

Abstract

fetched live from OpenAlex

Achieving gender equity is an international priority.This research, guided by a critical social theory approach, explores and seeks to challenge dominant gender norms amongst young men and women living in the slum of Kibera, Kenya.To achieve this goal, 49 participants, recruited through convenience sampling techniques, engaged in a participatory diagramming technique of data collection and reflexive analysis.Findings from this research suggest that youth participants experienced numerous forms of social discrimination and exclusion that threatened health and development.Socio-economic status appeared to be the primary source of inequities, including gender inequity.Process and outcome changes were noted among participants throughout the course of this research.Participants created plans to minimize the impact of discrimination that was externally imposed on them as individuals, but challenged between members of the group.The findings underscore the significance of addressing the social, cultural, political, and economic context of health.They further suggest that groups and communities have the capacity to create integrated plans that address complex challenges.

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)0.031
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0290.019
Scholarly communication0.0070.005
Open science0.0020.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.232
Teacher spread0.205 · 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 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

Citations1
Published2009
Admission routes1
Has abstractyes

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Same venueUniversity Library - University of Saskatchewan (University of Saskatchewan)Same topicPoverty, Education, and Child WelfareFrench-language works237,207