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Record W2966627901 · doi:10.1525/nr.2019.23.1.119

Review: Faith in Flux: Pentecostalism and Mobility in Rural Mozambique by Devaka Premawardhana

2019· article· en· W2966627901 on OpenAlexaff
Hugh Hodges

Bibliographic record

VenueNova Religio The Journal of Alternative and Emergent Religions · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsTrent University
Fundersnot available
KeywordsIconFaithCitationDownloadComputer scienceArtHistoryLibrary scienceWorld Wide WebTheologyPhilosophy

Abstract

fetched live from OpenAlex

Book Review| August 01 2019 Review: Faith in Flux: Pentecostalism and Mobility in Rural Mozambique by Devaka Premawardhana Faith in Flux: Pentecostalism and Mobility in Rural Mozambique. By Devaka Premawardhana. University of Pennsylvania Press, 2018. 232 pages. $49.95 cloth; ebook available. Hugh Hodges Hugh Hodges Trent University Search for other works by this author on: This Site PubMed Google Scholar Nova Religio (2019) 23 (1): 119–120. https://doi.org/10.1525/nr.2019.23.1.119 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Hugh Hodges; Review: Faith in Flux: Pentecostalism and Mobility in Rural Mozambique by Devaka Premawardhana. Nova Religio 1 August 2019; 23 (1): 119–120. doi: https://doi.org/10.1525/nr.2019.23.1.119 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentNova Religio Search This content is only available via PDF. © 2019 by The Regents of the University of California2019 Article PDF first page preview Close Modal You do not currently have access to this content.

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)0.016
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0200.006

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 head0.022
GPT teacher head0.322
Teacher spread0.300 · 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
GenreReview

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
Published2019
Admission routes1
Has abstractyes

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