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Record W4388691488 · doi:10.33823/jfs.2023.5.1.114

Making Sacred Space

2023· article· en· W4388691488 on OpenAlexaboutno aff
Amanda Lucia

Bibliographic record

VenueJournal of Festive Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
Fundersnot available
KeywordsTransformative learningSpiritualityShamanismMateriality (auditing)Transformational leadershipAestheticsSociologyEthnographyMeditationHistoryAnthropologyPsychologyMedicineArtSocial psychologyArchaeologyPedagogy

Abstract

fetched live from OpenAlex

This article presents data gleaned from ethnographic research in transformative events, with particular attention to those that incorporate yoga practice as an important educational site for the inscription and dissemination of “spiritual” values and as a pivotal site for testimonials of spiritual “transformation.” It draws from nearly a decade of research and practice in yoga environments in a wide variety of transformative events, including Bhakti and Shakti Fests (held in the high desert of Joshua Tree in Southern California), Wanderlust yoga festivals (global festivals in New Zealand, Australia, Canada, and multiple regions of the United States), Lightning in a Bottle (held in central California), and Burning Man (held in the Black Rock Desert in Nevada). This research focuses particularly on the innovative ways that practitioners materialize and ritualize sacred spaces that represent their eclectic and personalized spiritual understandings and beliefs. In their imagined transition from institutional religion to transformational spirituality, yogic practitioners seek to develop alternative forms of devotional materiality that reflect and express their new metaphysical values. In creating sacred space in festivals—through building altars and spaces for spiritual and yogic practices (including the ubiquitous yoga mat)—practitioners use material culture agentively to re-enchant what many believe to be a disenchanted world. These efforts to re-enchant the self and its surroundings can be understood as an impulse to create counter-modernities that challenge the current order of things by simultaneously returning to ancient wisdom and envisioning new futures.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.040
Scholarly communication0.0150.015
Open science0.0020.015
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0170.002

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 head0.258
GPT teacher head0.486
Teacher spread0.228 · 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 designNot applicable
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

Citations1
Published2023
Admission routes1
Has abstractyes

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