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Record W3124312426

Control Yourself, or at Least Your Core Self

2012· article· en· W3124312426 on OpenAlexaff
Lisa M. Austin

Bibliographic record

VenueSSRN Electronic Journal · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVisionDystopiaAutonomyEnlightenmentIdentity (music)ModernityPersonal identityEpistemologyRationalityParallelsSociologySelfEnvironmental ethicsInternet privacyAestheticsPolitical scienceLawComputer sciencePhilosophyEconomics
DOInot available

Abstract

fetched live from OpenAlex

There are striking parallels between contemporary privacy angst and technological fears from an earlier era. Like the “information age,” the modern industrial age engendered dystopian visions of out-of-control technology, technology that did not simply herald a new age of freedom but rather brought with it new types of threats to human autonomy, health, communities and the environment. Many first generation philosophers of technology argued — although each in quite different terms — that the significance of modern technology does not lie in specific features of its machinery but rather in a kind of rationality and cultural milieu intimately linked with the project of modernity and the Enlightenment values that animate it but simultaneously threatening to undermine human freedom. Second generation philosophers of technology took an “empirical turn” away from this earlier approach. Privacy theory needs to recover some of the insights of the earlier generation and, in particular, a focus on the idea of the self. Dominant accounts of privacy as control over personal information or privacy as limited access both draw upon ideas of a self who has an “inner core” to be selectively revealed to others and protected from them through social withdrawal. What we need instead is to understand privacy norms as protecting the conditions of social interaction, where those conditions provide the basis for identity formation.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.015
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.085
GPT teacher head0.341
Teacher spread0.255 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations0
Published2012
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicNeuroethics, Human Enhancement, Biomedical InnovationsFrench-language works237,207