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Record W3210847327 · doi:10.1163/25892525-bja10014

Proximity of Borders

2021· article· en· W3210847327 on OpenAlexaffabout
Zachary A. Munro

Bibliographic record

VenueSecular Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSecularitySecularizationSecularismOntologyField (mathematics)SociologyEpistemologySpace (punctuation)Relation (database)Political scienceLawPhilosophyComputer sciencePoliticsMathematicsPure mathematics

Abstract

fetched live from OpenAlex

Abstract Defining nonreligion has raised conceptual uncertainties about its substantive ontology and its relational distinctions from religion, secularity, secularization, and the secular. The field’s early development has deployed the religious/secular binary as a methodological tool, rendering secularity and nonreligion visible through its discursive positioning of being in-relation to religion. Although this has proven productive in substantiating such concepts, it has also constrained the field by identifying its objects of study indirectly. This paper argues for a proximal distinction between secularity and nonreligion using the development of secular Alcoholics Anonymous groups in Toronto, Canada, as an example, locating them between borders that constitute a third space. Within this space, secularity and nonreligion operate, identifying locations of proximity, border phenomena, and religious/secular entanglements that have otherwise remained interstitial and have precluded analysis. In turn, borders are retained for methodological utility, while the third space opens new analytical possibilities to advance the field forward.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.197

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 head0.049
GPT teacher head0.433
Teacher spread0.383 · 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.

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

Citations0
Published2021
Admission routes2
Has abstractyes

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