Keep the Tool‐Box Open for Social Justice: Comment on Kitzinger and Wilkinson
Bibliographic record
Abstract
We argue that psychology is not ill‐suited to confronting problems of inequality and injustice, and that psychologists are, in fact, quite capable of activist science. The parameters of psychology need to be considered as being broader than mental health pronouncements regarding various targeted minority groups. At a time when empirical claims are being wielded as tools by both sides of the same‐sex marriage debate, activist psychologists should not relinquish their own various strategies for challenging the status quo. The authors provide examples of tactics and tools that have been used and continue to be used by feminist and other progressive psychologists both to transform psychology and to work toward equality and social justice.
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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 | 0.013 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.020 |
| Scholarly communication | 0.010 | 0.017 |
| Open science | 0.010 | 0.005 |
| Research integrity | 0.073 | 0.073 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".