The Temporality of Intimate Partner Violence – How an Understanding of Time and Gendered Threats Can Foster Protection-Positive Outcomes
Bibliographic record
Abstract
Abstract This article brings together temporality and gender in the refugee process and examines how refugee determination bodies and courts have interpreted gendered threats, as a specific form of intimate partner violence. A case law review of jurisdictions (that include Australia, Canada, New Zealand, and the UK) is conducted, revealing a flawed temporal phenomenon where decision-makers have focused primarily on the exogenous aspect of threats, namely, whether there is a real chance of a threat being actuated in the future, and have largely failed to assess the endogenous, psychological dimension of the threat, that encompasses past, present, and future aspects of time. The practice of treating threats of violence as a potential future harm rather than an already occurring harm exhibits an obvious privileging of the future over the present that is not rooted in the empirical evidence on intimate partner violence. Further, the predominant focus by decision-makers on isolated future events as harm fails to accommodate the broad temporal dimensions of systemic intimate partner violence, best suited to a predicament-based model of being persecuted. This article explores the temporal shortcomings and gendered interpretations that underpin this erroneous practice in case law, finding that the temporal governance of refugee law is still largely shaped by the male gaze and conceptualisations of masculinity and femininity, which contributes to the limited recognition of threats as a form of harm in themselves.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".