Bibliographic record
Abstract
Consent represents a central focus in the controversial realm of BDSM-an overlapping acronym referring to the practices of Bondage and Discipline, Dominance and Submission, and Sadism and Masochism. Many authors have argued that the hallmark feature that distinguishes BDSM activity from abuse and psychopathology is the presence of mutual informed consent of all those involved. This review examines the relevant literature on consent in BDSM, including discussions on safety precautions, consent violations, North American laws pertaining to BDSM practice, and the role of the BDSM community with respect to education and etiquette surrounding consent. Practical information relevant to professionals who work toward the prevention of sexual exploitation and abuse is provided. The explicit approach to consent practiced by those in the BDSM community is proposed as a model for discussions around consent in clinical and educational contexts. Criteria for distinguishing abuse from BDSM and identifying abuse within BDSM relationships are outlined. It is our hope to demystify the consent process and add to the growing body of literature that destigmatizes consensual BDSM practices.
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 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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| 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".