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Record W6982151644

Hans Hugo Bruno Selye and the stress, a milestone in the modern medical history

2023· article· en· W6982151644 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMetallurgy and Cultural Artifacts
Canadian institutionsnot available
Fundersnot available
KeywordsMilestoneBiographyMedical historyHistory of medicineVariety (cybernetics)Medical literatureSet (abstract data type)Memoir
DOInot available

Abstract

fetched live from OpenAlex

Background: Hans Hugo Bruno Selye, Austro-Hungarian physiologist and physician, born January 26, 1907, later naturalized Canadian citizen, this man who lived 75 years and became the Director of Experimental Medicine and Surgery Institute of Montreal University in Canada, until his retirement in 1970. He passed away in 1982, in the same city. Objective: Describe the life and achievements of the distinguished academic Hans Hugo Bruno Selye and the history of stress as a milestone in modern medical history. Methodology: A historical retrospective study was conducted using theoretical methods such as documental and historical-logical analysis. Development: The doctor began to build his famous theory about the influence of stress on the ability of persons to cope or adjust to the injury or illness consequences in the second year of his medical studies (1926). He discovered with this investigation that patients with a variety of ailments exhibited similar symptoms, which could be attributed to the organism efforts to respond to the condition of being sick. He named this set of symptoms stress syndrome or general adaptation syndrome (GAS). Conclusions: This physician is one of the greatest personalities in medical history; his stress theory provided a transcendental conceptual framework for later issues of the mechanisms and manifestations for stress reactions.

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 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)0.006
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.338
GPT teacher head0.558
Teacher spread0.220 · 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 teacher head, not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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