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Record W4378533275 · doi:10.1111/criq.12725

Stress: A Keyword for Today?

2023· article· en· W4378533275 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCritical Quarterly · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
Fundersnot available
KeywordsCitationComputer scienceInformation retrievalWorld Wide Web

Abstract

fetched live from OpenAlex

Stress: A Keyword for Today?Stress may not prove a keyword, but it emphatically colors our current moment and the last half century.Take as a landmark the psychiatric legitimation in 1980 of post-traumatic stress disorder.Stress has a range of quite precise meanings and usages, but its burgeoning usage comes from all the ways it links mind and body, in reciprocal discomfort.Stress may provide the successor to what W. H. Auden in 1947 termed The Age of Anxiety, but I have not yet encountered a comparably powerful cultural, let alone literary, marker.As I began work for this investigation, I found in my daily online newspaper reading [Headline]: 'Flight cancellations stressing weary travelers as July 4 approaches' (Washington Post, June 28, 2022).In a New York Times 'Mind' feature, 'Stress might age the immune system, new study finds' (June 17, 2022), and in the 'Well' feature, 'Why Dogs Can Be So Healing for Kids: A new study suggests that spending time with therapy dogs may help lower children's stress levels even more than relaxation exercises'.This random chrestomathy illustrates the term's flexible grammar, functioning as an active verb, noun, and adjective.The nominalized adjective formed from the verb features in a fine OED citation from the National Post: 'Headlines tout vitamin drips as a cure-all for the stressed, the anxious, the depressed, the dehydrated, the immune-weakened and the overweight' (Canada, 2015).A striking biographical anecdote concerns the physiologist Hans Selye, whose work had a huge impact on the word's twentieth-century course.As a medical student in the 1920s, Selye observed during ward rounds that patients often had numerous complaints in common, even though suffering from different and distinct diseases.Medical science taught that signs and symptoms are specific to a particular illness; Selye recounted how one of his teachers would make the correct diagnosis in each of five different patients, solely on the basis of their presenting history and physical findings.Ignored, however, were the generic complaints that all those patients had in common, such as feeling tired, having no appetite, losing weight, preferring to lie down rather than stand, and not being in the mood to go to work.He called it the

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.086
GPT teacher head0.502
Teacher spread0.416 · 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