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Record W3116727662 · doi:10.3138/anth-2019-0032

Potentiating Death and Governing Uncertain Futures: Guns, Assisted Dying and the Production of Sovereign Subjects

2020· article· en· W3116727662 on OpenAlexaffvenue
Bradley Dunseith, Ari Gandsman

Bibliographic record

VenueAnthropologica · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsUniversity of OttawaUniversity of Toronto
Fundersnot available
KeywordsAutonomySovereigntySubject (documents)Futures contractPersonal autonomyAssisted suicideControl (management)LawSociologyPolitical scienceLaw and economicsPoliticsBusinessEconomicsManagement

Abstract

fetched live from OpenAlex

Both gun rights advocates and right-to-die activists shape their moral selves through time in relation to a demand of personal autonomy. Practising autonomy – having a sense of control over one’s own life and death – becomes the principle of the good for both gun advocates and right-to-die activists. Though the ethical aims of both groups could not be more different, both movements produce a similar kind of subject. Whether through guns or end-of-life technologies, the person who has control over death has control over life, resulting in a subject actively working in and through time. However, while right-to-die activists take their own lives into their sovereign hands, gun owners engage with an ethics of time to prove their capacity in deciding who may live and who must die.

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 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)0.002
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.090
GPT teacher head0.362
Teacher spread0.272 · 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 teacher head, 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

Citations0
Published2020
Admission routes2
Has abstractyes

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