Science, Technologies, and Deafness: An Introduction to Organized Knowledge as Social Problem
Bibliographic record
Abstract
The introduction to this volume connects the burgeoning academic field of science and technology studies (STS) with studies into the technologies of deafness; examples of such technologies include genomics, cochlear implantation, sign language corpora, educational tracking systems, and mobile communications. The subsequent articles all bear witness to the extensive interweaving of advanced technologies, scientific knowledge, deafness and sign language. The papers brought together in this special issue were presented at two prominent international conferences: the annual meeting called “Ways of Knowing” held by the Society for Social Studies of Science (4S), in Montreal from October 11–13, 2007; and the annual meeting called “Acting with Science, Technology and Medicine,” held jointly by 4S and the European Association for the Study of Science and Technology (EASST) in Rotterdam from August 20–23, 2008.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 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".