MétaCan
Menu
Back to cohort
Record W3176774600 · doi:10.32370/ia_2021_06_5

Tolerance to Uncertainty in Adolescence as aPsychological Problem

2021· article· en· W3176774600 on OpenAlexvenueno aff
Valentyna Semychenko, Oksana Oleksyuk, Kateryna Artyushina

Bibliographic record

VenueIntellectual Archive · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsnot available
Fundersnot available
KeywordsConstructiveInterpersonal communicationAction (physics)PsychologyEvent (particle physics)Human lifeSocial psychologyInterpersonal relationshipEmpirical researchEpistemologyComputer sciencePolitical scienceProcess (computing)

Abstract

fetched live from OpenAlex

The article considers the problem of uncertainty as an integral attribute of modern human life. The importance of forming tolerance to uncertainty as an important means of organizing the life path of an individual is revealed. It is determined that the very ability of a young person to find his place in society, to properly build interpersonal relationships within the uncertainty of life events affects the future of both professional and life success. A young person in situations of uncertainty chooses one of two main strategies of action: destructive and constructive, which depends on the motivation and significance of the event for the individual. Scientists have developed different methods for studying tolerance / intolerance to uncertainty. This article presents the results of an empirical study that reveals the features of the development of tolerance for uncertainty in student youth

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.002
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 head0.034
GPT teacher head0.339
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueIntellectual ArchiveSame topicPsychology of Development and EducationFrench-language works237,207