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Including Rural Youth Perspectives in Sustainable Development and Academic Research

2025· article· en· W4408764468 on OpenAlexaffvenue
Margarita Fontecha

Bibliographic record

VenueRural Review Ontario Rural Planning Development and Policy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsSustainable developmentEngineering ethicsPolitical scienceEnvironmental planningSociologyGeographyEngineering

Abstract

fetched live from OpenAlex

Existing literature on rural youth largely focuses on labour and economic opportunities. Usually, rural youth studies focus on finding the right incentives for youth to have a life-course in farming and food production. However, this approach narrows rural youth aspirations to their economic role and. Few studies explore other factors that influence youth decision-making, such as role models, family networks, community relationships, and social norms—all of which shape their agency and capacity to pursue alternative life trajectories. Moreover, little research includes the perspective, ideas and experience of rural youth in their design. My study uses a participatory photovoice method grounded in Possible Selves theory, agency, and intersectionality to examine the aspirations and life courses of rural youth in La India, Colombia from the perspective of rural youth themselves. Conducted with 36 students aged 13–20, the research engaged participants through photography workshops, discussions, and community activities. The findings reveal a profound tension between youth aspirations and the structural realities of their context, where economic practices and illicit economic systems, coupled with a history of armed conflict, marginalize youth, undermine agency, and limit opportunities for meaningful participation. This context fosters aspirations focused on survival rather than transformative change, reinforcing cycles of poverty and exclusion.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.156
GPT teacher head0.468
Teacher spread0.312 · 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 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
Published2025
Admission routes2
Has abstractyes

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