Bibliographic record
Abstract
Abstract In 2018, my brother Adam Colquhoun, nicknamed “Stretch,” was killed in a bar in Calgary, Alberta by a man he barely knew. Stretch was the kind of person society finds convenient to discard. His history of theft, illicit drug dealing, mental illness, addiction, and homelessness made his humanity “undesirable.” Nevertheless, lessons Stretch learned painfully over his lifetime had something to teach us. In 2016, he told me he wanted someone to write his biography. This paper explores how my brother's murder caused me to collapse the binary between personal and professional, and embrace memoir—a process differing substantially from writing ethnography. I thought of my approach as “pushpin memoir,” akin to a detective board where investigators stick bits of evidence in the aftermath of a crime. Pushpins comprise unusual, standout moments we hold onto among the quotidian we often forget. Meanings gleaned from Stretch's life allowed me to rethink the future of the man who killed him, and thus imagine broader possibilities for people whose actions cause irreparable harm. I ponder how centering the experiencing self feels crucial to future endeavors to write an anthropology that matters to broader publics I hope to engage.
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.024 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| 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".