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Record W3116359725 · doi:10.3167/arrs.2020.110101

Introduction

2020· article· en· W3116359725 on OpenAlex
Simon Coleman, Sondra L. Hausner

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReligion and Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPortraitPoliticsEthnographySubject (documents)SociologyHistoryCivilizationEpistemologyAestheticsAnthropologyArt historyArtPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The central task of our journal is to present outstanding work on religion. Through our focus on individual scholars in the Portrait section, we are also able to consider how such work is produced, and our hope is to reveal the intellectual, institutional, political, and personal factors behind research that has helped us to revive and reconstruct our field. The subject of this year’s Portrait, Talal Asad, has famously addressed questions about the category of religion in unusually productive and provocative ways.1 Published here for the first time, Asad’s autobiographical observations take the reader through some of the key relationships and events of his life, from a remarkable childhood during which he witnessed the violence of Partition first-hand, to what happened in 1950 when he arrived in London from Pakistan and began to discern the problems behind “the local version of modern civilization into which [he] was being unevenly assimilated,” to the process of becoming an anthropologist and an ethnographer.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.019
GPT teacher head0.276
Teacher spread0.257 · 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