A mine for women? Trajectories of Kanak women in the nickel industry in New Caledonia
Bibliographic record
Abstract
Based on the analysis of a sample of biographical trajectories, this article attempts to reconstruct the constraints experienced by Kanak women who join the nickel industry, and the strategies they use to enter and remain in the industry. During the 2010s, the nickel sector saw a rapid influx of Indigenous women, often into skilled positions. By cross-referencing the pathways taken by these employees, we shed light on this phenomenon by endeavoring to reconstruct the contradictions and inherent fragility associated with these pathways. To this end, the chapter examines ethnic and gender divisions in the New Caledonian labor market, the country’s specific arrangements for vocational training, and gender relations in the domestic and public spheres, particularly within mining companies. The legacy of the Kanaks’ forced relocation to reserves is also explored. As such, this chapter pursues the dialog opened by research conducted on gender relations in and around the workforce in a postcolonial context, while taking care not to exoticize what is happening in New Caledonia.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".