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Record W4319843532 · doi:10.1111/amet.13112

Community fashioning

2023· article· en· W4319843532 on OpenAlexafffund
Jean‐Michel Landry

Bibliographic record

VenueAmerican Ethnologist · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of CanadaPierre Elliott Trudeau Foundation
KeywordsPoliticsSociologySubject (documents)Action (physics)Environmental ethicsPolitical actionPolitical ethicsCollective actionAtmosphere (unit)AestheticsEpistemologyLawPolitical sciencePhilosophyComputer science

Abstract

fetched live from OpenAlex

Abstract In the shari‘a seminaries ( hawza ) of South Beirut, young Shi‘i Muslims articulate a notion of ethics that is realized in and through collective life. Classes on ethics ( akhlaq ) help them reweave the moral fabric of their neighborhoods by addressing volatile public situations, correcting improper conduct, and emulating virtuous figures. The concerns that animate these classes, and the practices of caretaking shaped therein, illuminate the political work that ethical action can achieve. Understanding how future clerics learn to fashion their community (and themselves) requires a theorization of subject formation that moves beyond conventional views of the self and that enables us to approach the public atmosphere as an ethical force. For this, a powerful starting point is offered by the tradition of political ethics as elaborated in the writings of Antonio Gramsci, Simone Weil, and others.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
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 head0.097
GPT teacher head0.406
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2023
Admission routes2
Has abstractyes

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