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Record W3097690651 · doi:10.5430/ijhe.v9n8p100

Stress Resistance of Personality in the Conditions of Development of Professional Activity

2020· article· en· W3097690651 on OpenAlexvenueno aff
Ramil R. Khayrutdinov, Flera Gabdulbarovna Mukhametzyanova, Tatyana Bashkireva, Anastasia Bashkireva, Alexander Morozov

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsnot available
FundersKazan Federal University
KeywordsPersonalityResistance (ecology)PsychologyAdaptation (eye)Context (archaeology)Social psychologyPsychological adaptationStress (linguistics)Social environmentProfessional developmentDevelopmental psychologyApplied psychologySociologyPedagogyEcology

Abstract

fetched live from OpenAlex

The article discusses the problem of stress resistance of a person in the context of the development of professional activities, for example, students during the examination session. Under the concept of resistance to stress, the biological and psychological characteristics of a living organism considered, allowing it to remain stable under the influence of various factors of the external and internal environment. This concept considered as an integral property of a person necessary for the adaptation of an individual to the influence of environmental factors and professional activity manifested in mental and psychological indicators. The results of the study showed that stress resistance, as a necessary condition for the successful social and psychological adaptation of a person to mastering professional activities in the aspect of synergetic. Accordingly, it is actually predicting professional health and professional longevity of the personality of men and women in connection with an increase in the retirement age as a global social problem.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.054
GPT teacher head0.422
Teacher spread0.369 · 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.

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

Citations4
Published2020
Admission routes1
Has abstractyes

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