Humanitarian reason and the movement for overdose prevention sites: The NGOization of the Opioid “Crisis”
Bibliographic record
Abstract
In August 2017, a group of activists erected in Ottawa's downtown a tent as a first overdose prevention site as a response to what the public and the activists perceived as an epidemic-a devastating wave of opioid and fentanyl overdoses in Canada. The Ontario premier was urged to declare an emergency that would provide increased funding for harm reduction and also send a message to survivors and families that the lives of their loved ones mattered. Thus, the discourses around the so-called opioid crisis used a language of moral sentiments to legitimate political action. This "new humanitarianism" is considered a priori as good, but in this article, I ask what is politically at stake if we base our actions on the logic of humanitarian reason. The new universalism of humanitarian organizations is based on the individualism of human rights and thus on a moral imperative that replaces the political. Initiatives like the OPS movement often fill the gaps in social services in the absence of the state and address social problems as emergencies and public health issues, thereby transforming them into medical problems-performing the medicalization of sociopolitical problems. This is what I call the NGOization of the opioid crisis. This form of humanitarianism is a universalism of the temporal present without any universal promise for a better future or the amelioration of human conditions-it is a humanitarianism of emergency. What characterizes new humanitarianism is that it responds to situations of suffering that are the result of increasing inequality and injustices without addressing the root causes of this suffering. Not addressing these causes means to be complicit in perpetuating the inequalities and to restrict visions of possible alternatives.
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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 | 0.004 | 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 | 0.017 | 0.068 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".