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Record W1972551235 · doi:10.1080/02533950608628718

‘I Have Been Patient Enough’: Gendered Futures and Mentors of Female Youth in Urban Zimbabwe

2006· article· en· W1972551235 on OpenAlexaff
Miriam Grant

Bibliographic record

VenueSocial Dynamics · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFutures contractContext (archaeology)DyadRite of passageYoung adultGender studiesLongitudinal studyPositive Youth DevelopmentSociologyPsychologyPolitical scienceDevelopmental psychologyMedicineGeographyBusiness

Abstract

fetched live from OpenAlex

This article examines the gendered futures of female youth and how mentors impact their journey towards adulthood. It is based on longitudinal research involving household dyad interviews with youth/young adults and parents or guardians in high density suburbs of Bulawayo, Zimbabwe, between 1998 and 2001. The article sets the context of severe economic collapse and the raging AIDS epidemic in Zimbabwe. Most female youth/young adults either were forced to leave school due to lack of money or were unsuccessful in their O level exams. Further, they leave school as highly dependent individuals who lack essential skills. The mainly gender role ambitions of these young women are not realised and in most cases, they end up engaged in low-end, low-skill gender specific activities. While immediate or extended family mentors are present or close-by, their assistance is quite limited given increased struggles for basic daily survival. Marriage as a rite of passage to adulthood is also severely compromised. The generational bargain has unraveled for these young women, with consequences which will impact future generations.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.005
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.278
Teacher spread0.261 · 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

Citations7
Published2006
Admission routes1
Has abstractyes

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