The Value of Strident Agnosticism: Dorothy Pawluch and the Endurance of Ontological Gerrymandering
Bibliographic record
Abstract
Abstract This paper reflects on the origins and subsequent reception of the paper “Ontological Gerrymandering: The anatomy of social problems explanations”, published in 1985. It describes the circumstances of my turning up at McGill University as a Visiting Professor in Sociology and meeting Dorothy, then a graduate student and the TA assigned to an undergraduate course on Social Problems which I was asked to teach. The paper reflects on the twin benefits: of an interloper, from Europe and from Science and Technology Studies (STS), entering the exotic and heady fray of North American social problems; and of Dorothy’s steady and resolute guidance in introducing me to a new field. The paper suggests some reasons for the endurance of the paper’s arguments, more than 35 years after its publication, drawing on some parallel developments in Social Problems and STS. It asks why has there been rather little mutual interaction between these disciplines, given their common concern with questions, among others, about values, effects and interventions in academic scholarship. The paper concludes that many more of us might have done well to pursue the path of strident agnosticism.
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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 | 0.020 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.114 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.013 |
| 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".