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Record W7053273369

Transmission of Religion across Generations - Project Description

2022· other· en· W7053273369 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2022
Typeother
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsReligiosityTransmission (telecommunications)FaithCultural transmission in animalsProcess (computing)Higher education
DOInot available

Abstract

fetched live from OpenAlex

The research project “The Transmission of Religion Across Generations: A Comparative International Study of Continuities and Discontinuities in Family Socialization” aims to understand the transmission of religiosity and non-religiosity across generations in Europe and Canada. We anticipate being able to provide a better explanation of religious change itself, and a more precise theory of religious change across generations. Drawing on quantitative and qualitative data, we will use a mixed-methods approach that combines the strengths of both methodological paradigms. Main questions: 1.) How does the transmission or non-transmission of faith, values and worldviews take place within families and across generations? 2.) What are the main factors in the successful (or non-successful) transmission of faith in different cultural contexts? 3.) How does religiosity change in the process of transmission? The project is financed by means of the John Templeton Foundation from October 2019 to June 2022 and will be carried out in cooperation between researchers from - the University of Münster (Germany), https://www.uni-muenster.de/Religion-und-Moderne/aktuelles/forschung/projekte/projekt_templeton.html, - the University of Eastern Finland, https://uefconnect.uef.fi/en/group/the-transmission-of-religion-across-generations-a-comparative-international-study-of-continuities-and-discontinuities-in-family-socialization/ - the Pázmány Péter Catholic University Budapest (Hungary), - the University of Turino (Italy), https://www.dcps.unito.it/do/docenti.pl/Show?_id=rricucci#tab-profilo and - the University of Ottawa (Canada). SEE Wiki for more information on our theoretical and analytical framework. Find also first results. ***July 2022: Follow-up project: Explaining religious change across generations: an international study of religious transmission in families https://osf.io/6mxy5/ ***

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)0.023
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: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.109
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0040.001
Scholarly communication0.0030.002
Open science0.0030.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1090.027

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 head0.018
GPT teacher head0.248
Teacher spread0.230 · 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
GenreProtocol

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
Published2022
Admission routes1
Has abstractyes

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