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Record W4206923051 · doi:10.1177/14649934211067609

‘This Helps You See Life Differently’: Evaluating Youth Development and Capability Expansion in Remote Communities of Honduras

2022· article· en· W4206923051 on OpenAlexaff
Sara Wyngaarden, Sally Humphries, Kelly Skinner, Esmeralda Lobo Tosta, Veronica Zelaya Portillo, Paola Orellana, Warren Dodd

Bibliographic record

VenueProgress in Development Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of GuelphUniversity of Waterloo
Fundersnot available
KeywordsTransformative learningFormative assessmentPositive Youth DevelopmentEmpowermentPsychological interventionYouth empowermentVocational educationHuman development (humanity)Economic growthPolitical scienceSociologyPsychologyPedagogyDevelopmental psychology

Abstract

fetched live from OpenAlex

Youth in rural Honduras experience barriers to accessing education, vocational training, and social supports for their formative development. This study evaluated over 18 years of youth-specific development interventions implemented by a Honduran organization in two rural municipalities. The study draws on 94 semi-structured interviews and demographic data from 1596 program participants. Three impact pathways were identified through which respondents experienced positive outcomes from program involvement: transformative participation; meaningful collaboration; and low-risk experimentation. The findings parallel known development theories and empowerment frameworks, including the Human Development and Capabilities Approach and Positive Youth Development, thus supporting the effectiveness of these approaches in facilitating youth development and capability expansion in remote Honduran communities.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.154
GPT teacher head0.397
Teacher spread0.244 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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