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Record W2028324122 · doi:10.1353/sls.0.0043

Science, Technologies, and Deafness: An Introduction to Organized Knowledge as Social Problem

2010· article· en· W2028324122 on OpenAlexaboutno aff
Ernst D. Thoutenhoofd

Bibliographic record

VenueSign language studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessSign languageSign (mathematics)Emerging technologiesSociologyLibrary scienceEngineering ethicsPolitical scienceComputer scienceLinguisticsEngineeringLaw

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0030.010
Scholarly communication0.0060.008
Open science0.0010.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0100.002

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.

Opus teacher head0.017
GPT teacher head0.390
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2010
Admission routes1
Has abstractyes

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