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Record W2418072186 · doi:10.1037/abn0000178

The assessment and measurement of adult life stress: Basic premises, operational principles, and design requirements.

2016· article· en· W2418072186 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Abnormal Psychology · 2016
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPremiseStressorPsychologyPsycINFOApplied psychologyStress (linguistics)Strengths and weaknessesConflationSuspectCognitive psychologySocial psychologyClinical psychologyMEDLINEEpistemology

Abstract

fetched live from OpenAlex

Life stress is a central factor in the onset and course of a wide range of medical and psychiatric conditions. Determining the precise etiological and pathological consequences of stress, though, has been hindered by weaknesses in prevailing definitional and measurement practices. The purpose of the current paper is to evaluate the primary strategies for defining and measuring major and minor acute life events, chronic stressors, and daily hassles as informed by 3 basic scientific premises. The first premise concerns the manner in which stress is conceptualized and operationally defined, and specifically we assert that stress measures must not conflate the stress exposure with the stress response. The second premise concerns how stress exposures are measured, and we provide guidelines for optimizing standardized and sensitive indicators of life stress. The third premise addresses the consequences of variations in the procedures for life event measurement with regard to the validity of the research designs employed. We show that life stress measures are susceptible to several sources of bias, and if these potential sources of bias are not controlled in the design of the research, spurious findings may result. Our goal is to provide a useful guide for researchers who consider life stress to be an important factor in their theoretical models of disease, wish to incorporate measures of life stress in their research, and seek to avoid the common pitfalls of past measurement practices. (PsycINFO Database Record

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.112
GPT teacher head0.354
Teacher spread0.243 · 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