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Record W2319907945 · doi:10.1177/0270467612459924

“Obligatory Technologies”

2012· article· en· W2319907945 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBulletin of Science Technology & Society · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsTechnological determinismEmerging technologiesAutonomyFatalismDeterminismTechnological changeIdeologyCompetition (biology)SociologyPolitical scienceEpistemologySocial scienceLawEconomicsPoliticsComputer science

Abstract

fetched live from OpenAlex

The ideas of technological determinism and the autonomy of technology are long-standing and widespread. This article explores why the use of certain technologies is perceived to be obligatory, thus fueling the fatalism of technological determinism and undermining our sense of freedom vis-à-vis the use of technologies. Three main mechanisms that might explain “obligatory technologies” (technologies that must be adopted) are explored. First, competition between individuals or groups drives the adoption of technologies that enhance or extend human capacities. Second, individuals and groups may become dependent on technologies. Third, technologies induce changes in social norms and values that may come to be enforced through various social mechanisms, including the law. The widespread ideology of the beneficence and inevitability of technological progress in our culture helps this process along.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0010.031
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.045
GPT teacher head0.313
Teacher spread0.268 · 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