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Record W2315711001 · doi:10.1386/tear.10.1.125_1

How biotechnology and society co-constitute each other

2012· article· en· W2315711001 on OpenAlexaff
Melentie Pandilovski

Bibliographic record

VenueTechnoetic Arts · 2012
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsVideo Pool Media Arts Centre
Fundersnot available
KeywordsBiopowerPoliticsContext (archaeology)The artsSociologyPolitical scienceSocial scienceEnvironmental ethicsBiotechnologyPolitical economyLawBiology

Abstract

fetched live from OpenAlex

This article deals with a critical examination of the philosophical underpinnings in regard to the development of technology in general, and biotechnology in particular. The text also focuses on the political and economic spectrum reflecting the socio-political consequences of the biotech revolution, and in that context also looks into the connections between the organization of biopolitics and biopower, and circumstances relative to the arts, sciences and social struggles, presenting biotech culture through a wide array of experiences and influences. This text looks at how biotechnology is used for biopolitical purposes, in the sense of a political spectrum that reflects positions towards the social, economic and cultural consequences of the biotech revolution.

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)0.008
metaresearch head score (Gemma)0.008
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 score0.992
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0080.066
Scholarly communication0.0280.018
Open science0.0010.011
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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
Published2012
Admission routes1
Has abstractyes

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