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Record W7095804609

©2003 Canadian Corporation for Studies in Religion/Corporation Canadienne des Sciences Religieuses Cybercoven: Being a witch online1

2016· article· en· W7095804609 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsWitchPopularityWeb siteThe InternetDivinationCorporationMAGIC (telescope)
DOInot available

Abstract

fetched live from OpenAlex

Summary: Through a case study of one email discussion group, cyber-coven, along with an analysis of a selection of typical Witchcraft web sites, I show how a rethinking of the divide between "virtual " and "real" allows solitary Witches to practice their earth-based religion online. Included in the analysis is a discussion of how divination rites are affected by online practice. Résumé : À travers une étude de cas à l’intérieur d’un groupe de dis-cussion sur le site internet, cybercoven, et l’analyse de quelques sites web s’intéressant à la sorcellerie, je démontre ici comment une réévaluation de la division entre le « virtuel » et le « réel » permet à des sorcières soli-taires de pratiquer leur religion « terrestre » en ligne. L’article aborde aussi l’influence que peuvent avoir les sites internet sur les différents rites de divination. Witchcraft is a Pagan religious tradition which began gaining significant popularity in North America in the 1970s and has continued to grow both in

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score0.727

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0090.003
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2170.018

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 head0.232
GPT teacher head0.337
Teacher spread0.106 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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