Many Worlds of Ethics: Ethical Pluralism in CSCW
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
Although CSCW has shown a strong interest in diversity and inclusion, the literature predominantly reflects ethics rooted in Western universalism, modernism, scientism, and Euro-centrism. Consequently, CSCW theories and practices tend to marginalize millions of people worldwide whose ethical perspectives do not align with the narrow focus of ethics and values within CSCW. In an effort to embrace ethical pluralism within CSCW, we propose a day-long hybrid workshop in CSCW and invite researchers and practitioners to initiate conversations centered around three themes: (a) foregrounding ethical diversities, (b) adapting diverse ethics, and (c) addressing challenges, barriers, and limitations associated with incorporating plural ethics into CSCW. Through this workshop, we aim to bring together CSCW scholars and practitioners, fostering a community that advocates for and advances the cause of pluralism in socio-technical systems.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it