Structural determinants of GBV against refugee youth: Advancing critical theoretical perspectives
Bibliographic record
Abstract
The scholarship on gender-based violence (GBV) against refugee youth has succeeded in highlighting the significance of micro social psychological or situational analyses. Missing, however, are analyses that incorporate structural approaches, especially as informed by critical feminist and critical race theories. This review not only suggests ways in which structural analyses may proceed by further recommending the conceptual utility of integration and dislocation as key concepts in refugee studies, GBV and analyses of youth. These concepts mediate the relationships between two fundamental and prevailing units in the social theorizing – micro and macro-analyses. By incorporating more holistic, relational and critical foci regarding systems of domination (misogyny, racism, youth discrimination, homophobia) within the political economy and culture and their embedded institutions, more systemic and long term remedies are recommended.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.007 | 0.050 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".