A Choreography of Consensus: The Use of Hybrid Templates in Ontario
Bibliographic record
Abstract
This chapter explores the certification procedure in Ontario during the last quarter of the nineteenth century. Using legal and archival sources, it investigates the examination process as it took place between 1873 and 1883, a decade in which civil confinements depended on a standardized template called “Form K Certificate of Insanity”. First, I examine the origins of lunacy certificates in Ontario and explain how this province became a unique case worldwide. Second, I analyse the key features of Form K, highlighting how the medico-legal determination of lunacy relied on physicians and witnesses. Third, I explore the problems of certification and point out that despite the early abandonment of Form K, its formula continued to inform Ontario’s mental health documentation right down to the present. This chapter argues that committal decisions rested on a choreography of consensus, as a paper technology that outlined the necessary steps to follow, Form K arranged a peculiar scene of inquiry composed of interviewers, witnesses, and suspects.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.023 | 0.037 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".