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Record W2043858867 · doi:10.2298/zipi0502115j

Individual characteristics and religiousness among adolescents

2005· article· en· W2043858867 on OpenAlexaboutno aff
Snezana Joksimovic

Bibliographic record

VenueZbornik Instituta za pedagoska istrazivanja · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyAuthoritarianismSocial psychologyReligiosityQuarter (Canadian coin)PermissiveValue (mathematics)Developmental psychologyDemocracyPoliticsPolitical science

Abstract

fetched live from OpenAlex

The paper analyses the research data on religiousness collected at different periods in Serbia and former Yugoslavia. The aim of the paper is to point to the tendencies in religious practice and the expansion of religiousness among young people in different periods, as well as individual psychological factors of religiousness. The data shows that the number of young people who declare themselves religious has increased significantly in the last 15 years, compared to the period of a quarter of century ago. In addition to the revival of tradition as an answer to social crisis and uncertainty which affects young people most, the increase in religiousness is connected to certain forms of social democratization as well as it being socially desirable. The data on social-demographic correlates of religiousness shows that the degree of religiousness varies depending on the age, gender, social background and education level. However, the more recent research data shows that these differences have become smaller which indicates a certain homogenization among young people. Religiousness is consistently and positively connected to authoritarianism, conformism and intolerance, while certain changes have occurred in regard to its connection with desirable social values. Similar to the tendency observed in other research on values the data on factors and correlates of religiousness, especially among young people, point to a specific value relativism and confused values.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.344
Teacher spread0.306 · 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 designObservational
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

Citations0
Published2005
Admission routes1
Has abstractyes

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