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Record W4247402662 · doi:10.3389/frym.2021.585831

How Stress Affects Us

2021· article· en· W4247402662 on OpenAlex
Stephanie Ellis, Vishnu P. Bhathe, Christina Brennan, Emily Moynes, Kim Hellemans, Sean J. Landsman

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

VenueFrontiers for Young Minds · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsCarleton University
Fundersnot available
KeywordsStress (linguistics)PsychologyPhysiological stressSocial psychologyMedicine

Abstract

fetched live from OpenAlex

Stress is something we all experience in our daily lives. While we often think stress is a bad thing, some stress can be good for us, such as when we sense danger and run away from it. The moment the body senses something stressful, it immediately triggers a series of events to help us handle the stress. However, if our bodies are responding to stress all the time, it can be hard on our overall health. Therefore, it is important to maximize time spent exposing ourselves to “good” stress, minimize exposure to “bad” stress, and provide ourselves with lots of time to recover from any bad stress we might experience. Understanding how our bodies respond to stress and what conditions are best for our overall health is important for making healthy life choices.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.821

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.030
GPT teacher head0.376
Teacher spread0.346 · 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