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Record W1548623200 · doi:10.25071/1718-4657.36707

HUMAN RIGHTS AND THE EIGHTEENTH-CENTURY MIND: OR,CONJECTURAL SAVAGES, FICTIONAL HUMANS AND THE PERFORMANCE OF RIGHTS

2010· article· en· W1548623200 on OpenAlexvenueno aff
Joel P. Sodano

Bibliographic record

VenueIntersections conference journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSympathyHuman rightsHumanismFeelingHuman rights movementPopularitySociologyHuman bodyAestheticsLawPhilosophyEpistemologyPolitical scienceFundamental rightsRight to propertyPsychologySocial psychology

Abstract

fetched live from OpenAlex

In 2004, historian Lynn Hunt published an article entitled “The 18th Century Body and the Origins of Human Rights.” Therein she argues that humanist experiences of the body that emerge with the penal reform movement of eighteenth-century Europe represent the origins ofthe concept of human rights as we know it today.Hunt’s primary concern is the emergence of a “rights possessing body” that causes a major shift in thinking around mid-century. In outlining this shift, she first illustrates how the rise in the popularity of portraiture during the latter half of the eighteenth-century functioned to“encourage the view that each person was an individual, that is, single, separate, distinctive and original” (Hunt 43). Hunt suggests that such a proliferation of “individuated bodies” lays the groundwork for a new kind of emotional experience requisite for modern human rights—a feeling of sympathy for someone else whose own autonomous body has been violated.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.055
Scholarly communication0.0050.007
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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 designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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