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Record W2093433236 · doi:10.1177/0270467609355049

“Science Discovers, Genius Invents, Industry Applies, and Man Adapts Himself . . .”: Some Thoughts on Human Autonomy, Law, and Technology

2010· article· en· W2093433236 on OpenAlexaff
Jennifer A. Chandler

Bibliographic record

VenueBulletin of Science Technology & Society · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEthics and Social Impacts of AI
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAutonomyGeniusMechanism (biology)SociologyEmerging technologiesLaw and economicsLawEnvironmental ethicsEpistemologyPolitical sciencePsychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

This short note considers the relationships between human autonomy, both individual and collective, and technology. At the collective level, numerous writers have observed the profound effects on society of technological discoveries — leading to the suggestion that societal mechanisms through which we might seek to make deliberate choices about technologies are ineffective. One such mechanism is the law, and I suggest through various examples that legal doctrines and judicial processes may indeed be limited in their ability to regulate technology. At the individual level, technologies have profound effects on human autonomy, both making certain choices possible but also changing the material and cultural environment in ways that make the adoption of technologies inescapable in a way that appears to erode human autonomy.

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)0.005
metaresearch head score (Gemma)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.043
Scholarly communication0.0050.013
Open science0.0020.003
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.327
Teacher spread0.306 · 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 designTheoretical or conceptual
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

Citations1
Published2010
Admission routes1
Has abstractyes

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