Reparative Engagments: A mad feminist approach to politicizing lived experiences of self-harm
Bibliographic record
Abstract
This dissertation intervenes into dominant understandings of self-harm as a pathological problem behaviour in need of treatment and cure, opting, instead, to take as its point of departure an understanding of self-harm as a resourceful, multiplicitous, and socially embedded bodymind practice oriented towards attending to “what hurts”. Using a combination of critical qualitative methods (i.e., narrative inquiry and critical discourse analysis) this dissertation analyzes fourteen interviews with women, trans, and nonbinary adults living in Canada who identify with self-harm, placing interviewees' experience in conversation with the analysis of medical and cultural texts (i.e., psy- clinical literature, Canadian mental health policy documents, the DSM-5, and young adult novels pertaining to self-harm). Bringing together insights from mad studies, feminist disability studies, feminist theories of trauma, emotion, and embodiment, and social justice perspectives in mental health research, the dissertation pursues a deeply intersectional, situated, and reparative engagement with lived accounts of self-harm. This engagement critiques curative approaches to self-harm and works to position this practice beyond dualisms of ‘good’ or ‘bad’, choosing, instead, to conceptualize self-harm as something that both hurts and heals. The dissertation contributes to mad and feminist literatures an understanding of self-harm as a relational, political, and multiplicitous bodymind practice which is shaped by, and which responds to, the social, structural, and political contexts of everyday life.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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; both teacher heads agree on what is shown here.
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".