Care, Concern, and Advocacy: Is There a Place for Epistemic Responsibility?
Bibliographic record
Abstract
Departing from an epistemological tradition for which knowledge properly achieved must be objective, especially in eschewing affect and/or special interests; and against a backdrop of my thinking about epistemic responsibility, I focus on two situations where care informs and enables good knowing. The implicit purpose of this reclamation of care as epistemically vital is to show emphatically that standard alignments of care with femininity—the female—are simply misguided. Proposing that the efficacy of epistemic practices is often enhanced when would-be knowers care about the outcomes of investigation, I suggest that epistemic responsibility need not be compromised when caring motivates and animates research. Indeed, the background inspiration comes from the thought, integral to feminist and post-colonial theory and practice that, despite often-justified condemnations of research that serves "special interests," particularities do matter, epistemically. Such thoughts, variously articulated, are integral to enacting a shift in epistemology away from formal abstraction and toward engaging with the specificities of real-world, situated knowledge projects. They are not unequivocally benign, for villains too care about the outcomes of their projects. Hence multi-faceted engagements with epistemic practices and processes are urgently required across the social-political world.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".