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Record W2087992138 · doi:10.3138/jrpc.22.2.005

My[Sacred]Space: Discovering Sacred Space in Cyberspace

2010· article· en· W2087992138 on OpenAlexvenueno aff
Seth M. Walker

Bibliographic record

VenueJournal of Religion and Popular Culture · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsCyberspaceSpace (punctuation)Field (mathematics)Construct (python library)SociologyCyber SpaceNatural (archaeology)EpistemologyThe InternetPhilosophyComputer scienceHistoryWorld Wide WebMathematics

Abstract

fetched live from OpenAlex

The notion of “sacred space” has received attention from various scholars in the field of religious studies, as well as other academic disciplines. However, twentieth century contributions are specifically relevant to the study at hand. Moreover, it seems only natural to begin an analysis of “sacred space” by describing what is meant by the word “sacred” in its territorial connection with “space.” Therefore, specific understandings of “the sacred” will be explored, such as those developed by French sociologist Émile Durkheim and French historian of religion Mircea Eliade. Following this, the modern construct “cyberspace” will be explored, as the reader is led into the main topic under investigation: the existence of sacred space incyberspace, with a special emphasis on the cyber-social network MySpace. This part of the investigation will explore the various correlations that exist between these understandings of “sacred space” and those found in MySpace, arguing that the latter qualifies as being analogous to the former by the way in which it functions for its users.

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)0.004
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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.014
Scholarly communication0.0080.016
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.014
GPT teacher head0.246
Teacher spread0.232 · 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

Citations5
Published2010
Admission routes1
Has abstractyes

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