Bibliographic record
Abstract
In Undoing Suicidism, Alexandre Baril argues that suicidal people are oppressed by what he calls structural suicidism, a hidden oppression that, until now, has been unnamed and under-theorized. Each year, suicidism and its preventionist script and strategies reproduce violence and cause additional harm and death among suicidal people through forms of criminalization, incarceration, discrimination, stigmatization, and pathologization. This is particularly true for marginalized groups experiencing multiple oppressions, including queer, trans, disabled, or Mad people. Undoing Suicidism questions the belief that the best way to help suicidal people is through the logic of prevention. Alexandre Baril presents the thought-provoking argument that supporting assisted suicide for suicidal people could better prevent unnecessary deaths. Offering a new queercrip model of (assisted) suicide, he invites us to imagine what could happen if we started thinking about (assisted) suicide from an anti-suicidist and intersectional framework. Baril provides a radical reconceptualization of (assisted) suicide and invaluable reflections for academics, activists, practitioners, and policymakers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".