Tactics of Empathy: The Intimate Geopolitics of Mexican Migrant Detention
Bibliographic record
Abstract
By focusing on the externalisation of US bordering into Mexico, we consider the institutional setting that both limits and channels gestures of care and empathy in migrant detention. Working within a framework that highlights the connections between the global and the intimate, and by proposing to read these connections as they unfold into an intimate geopolitics of humanitarian borderwork, we unpack the effects of Mexico’s recent shift towards humanitarian border politics on the interactions between detained migrants and border agents. Together with the material scarcity in which border officers operate, horrendous detention conditions and increased investments in detention facilities, this shift produces care-control dynamics that are specific to bordering in transit countries. We identify three ‘tactics of empathy’ deployed by Mexican border officers as they attempt to morally legitimise border control in this new environment, while concurrently avoiding legal liabilities and taming migrants under their custody. We argue that these tactics are less a manifestation of an ethics of care than a response to situations occurring in transit migrant detention where morality and instrumental rationality become entangled.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| 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".