MétaCan
Menu
Back to cohort

Cyberspace and Religion in America

2017· reference-entry· en· W2765554574 on OpenAlexaff
Douglas E. Cowan

Bibliographic record

VenueOxford Research Encyclopedia of Religion · 2017
Typereference-entry
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCyberspaceFaithThe InternetEnthusiasmVariety (cybernetics)Media studiesSpace (punctuation)SociologySocial mediaReligious identityOnline communityWorld Wide WebPolitical scienceSocial scienceLawPsychologySocial psychologyEpistemologyComputer science

Abstract

fetched live from OpenAlex

Abstract Invented in 1989 and popularly accessible since the mid-1990s, the World Wide Web has always hosted a wide variety of religious content, ranging from early text-based discussion forums to live-stream video, and from rudimentary online communities to cross-platform social media activism. Known colloquially as “religion in cyberspace,” these computer-mediated, faith-based environments raise important questions in terms of how religious discourse is enacted and religious ritual performed. More than that, they challenge whether the notion of physical place will remain paramount in religious life, or if it can be displaced as believers and adherents shift aspects of their activity to electronically mediated communication space. Although initial enthusiasm for the Internet and its presumed potential led some scholars to predict large-scale uploading of religious life, there are a number of reasons to conclude that offline religious practice will continue to be important in the lives of believers despite any online activity they may pursue. That said, there are also significant ways in which online religious activity has encouraged adherents to reimagine the nature of sacred space, to envision new ways of understanding religious practice, and to enact new forms of religious community.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.068
GPT teacher head0.339
Teacher spread0.272 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueOxford Research Encyclopedia of ReligionSame topicMedia, Religion, Digital CommunicationFrench-language works237,207