Bibliographic record
Abstract
Testimony is of epistemic and practical significance. It is of epistemic significance because majority of what we know and believe comes from being told. It is of practical significance because our agency can be undermined, bypassed, or overridden owing to systemic prejudices sustained by oppressive social or cultural practices and subsequently our routes to knowledge are either hindered or distorted. Things get more complicated when we introduce and examine how groups and other collectives testify and are recipients of testimony. For instance, group speakers are typically said to represent and reflect the view of the group they are speaking on behalf of. But sometimes because of these oppressive practices, a group speaker’s assertion may deprive or impair its members’ ability to perform certain actions through speech. This dissertation examines the intersection between testimony, collective phenomena, and epistemic harms. One aim is to argue for a view on the nature of testimony that can accommodate various ways collectives testify and are recipients of testimony. In particular, I argue and present a view of testimony as a norm-governed joint activity involving individual or collective participants that commit themselves to a common aim of collaboration. Another aim is to present an epistemology of testimony that tracks our ordinary testimonial practices. In this regard, I argue for a norm view where we have reason to believe what we’re told because of the rules or norms that govern our communicative exchanges. A final aim is to explore the mechanism by which collective speech ensues in an epistemic harm driven by social identity prejudices. I argue for a form of silencing that is distinctive of groups insofar as the silencing occurs because of group dynamics. I call the mechanism underlying this form of silencing “representational impairment”. This dissertation, I hope, will motivate and inspire others to pursue philosophical projects at these intersections and in this spirit, I end by offering suggestions on areas of further development and future direction.
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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 | 0.015 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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".