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Record W2132962863 · doi:10.1525/ae.2006.33.1.33

Where ethics and politics meet

2006· article· en· W2132962863 on OpenAlexfundno aff
Miriam Ticktin

Bibliographic record

VenueAmerican Ethnologist · 2006
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of California, Santa BarbaraConnaught FundUniversity of TorontoJohns Hopkins UniversityUniversity of MichiganUniversity of California, Santa Cruz
KeywordsPoliticsCompassionImmigrationCorporate governanceSociologyEnvironmental ethicsCapital (architecture)Political scienceLawPolitical economyPhilosophyManagementEconomics

Abstract

fetched live from OpenAlex

I examine the role of humanitarianism and compassion in an emergent ethical configuration that makes illness a primary means by which undocumented immigrants obtain legal residency (“papers”) in France. I argue that the sacred place of biological integrity in this ethical discourse leads immigrants to trade in biological integrity for political recognition. I demonstrate first how humanitarianism has been transformed into a form of politics, functioning as a transnational system of governance tied to capital and labor even while purporting to be apolitical. I focus in the second half of the article on the consequences of humanitarianism as politics, which include new biopolitical practices, unexpected diseased and disabled citizens, and a limited version of what it means to be human.

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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0110.049
Scholarly communication0.0220.025
Open science0.0010.008
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0090.002

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 head0.038
GPT teacher head0.373
Teacher spread0.334 · 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 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

Citations649
Published2006
Admission routes1
Has abstractyes

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