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Motivational Mechanisms of Demonstration of Professional Competences in a Situation of Uncertainty

2019· article· en· W2966422114 on OpenAlexvenueno aff
Petr A. Korchemnyj

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2019
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyKnowledge managementEngineering ethicsComputer scienceEngineering

Abstract

fetched live from OpenAlex

The research paper establishes that the efficient resolution of a situation of uncertainty is achieved due to the motivational mechanisms for the manifestation of professional competencies. The psychological essence of the condition of uncertainty, the role of needs, intentions and professional goals in the restructuring of energy in the mental apparatus of a person, the place of motive as a conscious impetus of a person to specific actions are revealed. The author proposed the concept of the relationship of psycho-physiological and motivational mechanisms for the actualization of professional competencies in a situation of unexpected changes in the professional goals and objectives of the activity. The topicality of the work is due to the need to study the effect of motivation to act on the manifestation of professional competencies in a situation of uncertainty. An important goal of the research paper is assessed - a theoretical-psychological analysis of the motivational mechanisms for the expression of professional competencies of a subject of activity internally motivated for success in an unexpected professional situation, taking into account his personal, professional skills. The theoretical significance of our work is in the theoretical-methodological substantiation of the motivational model for the manifestation of the abilities of an extreme profession specialist's personality to apply professional competence in the conditions of uncertainty. It has been proved that the motivational factor of actualization of professional competencies in a situation of risk is fundamental in deciding to cope with unforeseen difficulties.

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 score0.379
Threshold uncertainty score0.244

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)0.0000.000

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 head0.038
GPT teacher head0.300
Teacher spread0.262 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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