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Record W2078337086 · doi:10.1080/07481187.2012.692455

Death-Related Versus Fond Memories of a Deceased Attachment Figure: Examining Emotional Arousal

2013· article· en· W2078337086 on OpenAlexaff
Daniel Rochman

Bibliographic record

VenueDeath Studies · 2013
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSadnessPsychologyArousalAnxietyDistressDevelopmental psychologyAssociation (psychology)AudiologyClinical psychologyAngerSocial psychologyMedicinePsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

Grieving is infused by memories and emotions. In this study, bereaved participants recalled either death-related or fond memories of their loved ones. Their emotional arousal was examined via physiologic and voice analytic measures. Both death-related and fond memories generated an acoustic profile indicative of sadness (reflected by voice quality related parameters). Death-related memories, moreover, lead to bodily tension reflected by increased diastolic blood pressure levels and mean fundamental frequency of the voice signal. Consistent with the continuing bond and attachment perspectives, "death," a reminder of the irrevocability of the loss, induced distress/anxiety. In contrast, fond memories lead to more moderate, melancholic sadness, presumably because of their association with the soothing qualities of the attachment figure.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.163
GPT teacher head0.353
Teacher spread0.191 · 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 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

Citations1
Published2013
Admission routes1
Has abstractyes

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