Academic Spin Doctoring: The Incommensurability Debate as a Scholarly War Fantasy
Bibliographic record
Abstract
This commentary to Shaw and Nowicki (2018) proposes that academic paradigms are ‘dialogical’ discourses that both compete and collaborate in order to sustain their identities. They are all based on different underlying assumptions and are carried by different symbols, tropes and narratives. Each version of the truth cultivates an identity that principally depends upon it not being its alternative. As a result, each paradigm depends upon the continued existence of its opposite. In this sense, therefore, the paradigm wars were a concocted dispute over invented territories and contrived opponents. The contribution of the paper for those seeking paradigmatic peace is to emphasise that just as the war was a concocted ‘simulacrum’, any peace must also be designed as fantasies accomplished through language games.
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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 | 0.019 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.061 |
| Scholarly communication | 0.024 | 0.021 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.019 | 0.024 |
| 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".