Farming, Gender and Aspirations Across Young People’s Life Course: Attempting to Keep Things Open While Becoming a Farmer
Bibliographic record
Abstract
Abstract Drawing on life history interviews conducted in Indian and Indonesian study sites, we tease out the social production of aspirations in the process of becoming a farmer. We show the power of a doxic logic in which schooling is regarded asthepathway out of farming, towards a future of non-manual, salaried employment. Among rural youth this doxic logic produces broadly defined aspiration such as ‘completing education’, and ‘getting a job’. In the absence of clear pathways to realise such aspirations, young people seek to keep options open. Yet, the scope for doing so changes in relation to key life events such as ending school, migration and marriage and does so in distinctly gendered ways. We conclude proposing that young people’s delayed entrance into farming, among other things, must be understood as an attempt to keep open those futures that are considered closed by an early entry into full-time farming.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".