Thomas Kelly, "Bias: A Philosophical Study"
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Thomas Kelly's book 'Bias: A philosophical study', is a philosophical exploration of the phenomena of bias and our practice of attributing it. He delves into the multifaceted nature of bias and offers a norm theoretic account for conceptualizing the phenomenon as typically involving "systematic departures from the norms". As a topic of inquiry, bias has attracted comparatively less attention in philosophy than in other disciplines like psychology and statistics. Hence, this book is an interesting and relevant read. Scholars working in the areas of ethics, epistemology and social epistemology can greatly benefit from it. Practitioners of AI can also gain valuable insights from the study of bias. In my review of the book, I provide a critical summary of Kelly's main arguments while acknowledging its fruitfulness in understanding bias.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.007 |
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 it