Bibliographic record
Abstract
Distributed by Collective Eye Films, 1315 SE 20th Ave. #3, Portland OR 97214; 971-236-2056Produced by Colin Askey, Monika Navarro,Marc Serpa Francoeur, and Robinder UppalDirected by Colin Askey2022, Streaming, 85 mins In the Eastside neighborhood of Vancouver, several activists worked with current and former drug users to create an illegal safe-consumption site called Insite. They were acting in response to the staggering number of overdoses in their community due to fentanyl-contaminated drug supply. They call their organization the Overdose Prevention Society, O.P.S. This collaboration has led to the forward-thinking policies at Insite by providing sanitized injection stalls, clean needles, testing of drugs for fentanyl content, and Narcan for overdoses. Love in the Time of Fentanyl follows the renegade group of workers of O.P.S. as they help addicts who live on the fringes of society. Ronnie, who is struggling with burnout after watching so many people die from overdoses during his time at O.P.S., Sarah, the activist who founded Insite and who works to spread awareness about the fentanyl crisis, and other volunteers who provide music, food, and art to the people who utilize the Insite facility. In addition to providing a safe space for people struggling with addiction, O.P.S. members are actively involved in advocating for bigger changes by speaking to public officials about the root causes of the fentanyl crisis and the need for more facilities like Insite. In spite of the grim backdrop of overdose scenes, director Colin Askey finds moments of kindness and camaraderie throughout the film. These are the heartwarming scenes of O.P.S. staff bonding with one another and with drug users sharing stories while using injection booths. These moments remind us that in the face of adversity, human connection and resilience endure. One man reminds us that “the only difference between you and I is one bad decision.” All speak plainly about the challenges of quitting and the dangers of stigmatization. Love in the Time of Fentanyl shows that drug users, to whom the drug crisis is more than a story on the local news, may be the ones we should look to for solutions to the current epidemic of overdoses. The diversity of stories shared by those at Insite provides a broad view of this drug crisis. The backgrounds, ages, and interest in recovery vary greatly, but one thing is clear: if we hope to repair the disconnect between society’s inaction and the loss of life among users, we need to listen to people who deal with the fentanyl crisis every day. Awards:DOXA Documentary Film Festival: Winner, The Colin Low Award for Canadian Documentary, Best Director; Durham Region International Film Festival: Best Documentary; Vox Popular Media Arts Festival: People's Choice Award, Best Film
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.086 | 0.011 |
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".