Reforming Critique: Critical Making as Method and Practice.
Bibliographic record
Abstract
This chapter presents the work of four scholar-creators, who were involved in a roundtable on “Revisiting and Renewing Critique” at the 2017 CCLA conference at Ryerson. We discussed how our work at the boundaries of disciplines self-reflexively takes up, problematizes, and extends critical thinking through practice. Critical making, also described as research-creation or research-praxis, is a way of thinking-made-material. Critical makers construct arguments using the forms, materials, and techniques from the domains of carpenters, designers, filmmakers, painters, and digital artists, among many others. These crafted, wellformed arguments feed out of, as well as into, more traditional modes of scholarly inquiry.
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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 | 0.077 | 0.089 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.011 | 0.127 |
| Scholarly communication | 0.034 | 0.028 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".