The knife's edge: Masculinities and precarity in East Africa
Bibliographic record
Abstract
In our field sites and clinical practice in East Africa, we regularly encounter men who have become overwhelmed by "thinking too many thoughts" and "gone crazy from confusion," brought about by the problems of life created by deepening social, economic and political precarity. Across diverse settings, many African men continue to be enmeshed in social and material obligations and expectations that position them as economic consumers and providers for those they care for and love. When these gendered obligations, expectations and fantasies are left unfulfilled, this sense of failure can be embodied to produce particular kinds of health effects. Namely, men may become plagued by troublesome and confusing thoughts, leading them in some cases to "give up on" (as our research subjects put it) pursuing work and education, to become immersed in problematic drug and alcohol use, and even to take their own lives. While these afflictions can be glossed using the language of depression, anxiety, addiction and suicide, such medicalizing frames may obscure more nuanced social, structural and affective diagnoses of what is happening to men across Africa and globally. Anthropology provides us with alternative frames through which to understand how psychological wounds are made-and healed.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.023 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".