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Record W2977375417

Religion, negative emotions, and regulation

2013· book· en· W2977375417 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychology Press eBooks · 2013
Typebook
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsSt. Jerome's University
Fundersnot available
KeywordsPsychologyMoodCoping (psychology)ReligiosityCognitionDevelopmental psychologyNegative moodEmotionalitySpiritualitySocial psychologyClinical psychologyNeuroscienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

In broad terms, James’s postulations set the agenda for this chapter. That is, we will fi rst examine the evidence suggestive of a “sick-souled” neural profi le typifi ed by a predominance of negative emotionality that might predispose some individuals to seek out religion as a means of coping with such tendencies. More specifi cally, we will review neurophysiological research linking the same pattern of hemispheric functional dominance and neurotransmitter activity to both a predisposition towards spirituality/religiosity and a tendency to experience negative mood states and more global diffi culties in cognitive-affective regulation. With this as a backdrop, we will suggest that some individuals who possess such a “sick-souled” neural profi le may be inclined therefore to turn to religion as a means of coping with their negative affective states.

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.

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), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
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 head0.056
GPT teacher head0.367
Teacher spread0.311 · 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