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Record W3048020467 · doi:10.37724/rsu.2020.53.1.006

Psychological Support for Career Developmentin Modern Adolescents at the Stage of Vocational Education

2020· article· ru· W3048020467 on OpenAlexaff
О.В. Люсова, Людмила Егоровна Солянкина

Bibliographic record

VenueПсихолого-педагогический поиск · 2020
Typearticle
Languageru
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsVictoria General Hospital
Fundersnot available
KeywordsDisappointmentCareer developmentVocational educationCareer portfolioTroubleshootingPsychologyCognitive Information ProcessingProcess (computing)Test (biology)Medical educationCareer planningCareer pathErikson's stages of psychosocial developmentPedagogySocial psychologyComputer scienceEngineering managementEngineeringMedicine

Abstract

fetched live from OpenAlex

В статье рассматриваются условия и факторы реализации системного видения психологической поддержки формирования карьерных стратегий современной молодежи. На основе результатов исследования авторы резюмируют, что выбор студентами карьерных стратегий на этапе профессионального обучения позволит не только определить соответствие своего уровня профессиональным требованиям, предъявляемым профессией, но и избежать в будущем эффекта «блокады» взаимодействия в системе «среда — субъект». Отмечается, что обучающиеся нуждаются в психологической поддержке, проводимой специалистом — коучем — во время формирования карьерного планирования и включающей в себя разработку и реализацию комплексных консалтинговых развивающих программ. В результате проведенной работы была разработана и апробирована развивающая программа «Я в карьере». Теоретической основой программы выступили научные взгляды М. Вишняковой, Н. С. Пряжникова. В статье дается сущностная характеристика программы «Я в карьере», цель, задачи, содержание и результаты апробации. Консалтинговая работа со студентами по данной программе сводится к обсуждению результатов проведенной диагностики, конкретным запросам студента в связи с его проблемами формирования эффективных индивидуальных карьерных стратегий. Обращается внимание ученых, психологов, занимающихся данной проблемой на то, что для эффективности формирования карьерных стратегий, способствующих мотивации учебно-профессиональной деятельности студентов, необходимо проводить длительные курсы в форме тренингов на добровольной основе. The article focuses on psychological support for career development in modern adolescents. The authors of the research conclude that students’ choice of career strategies at the stage of vocational development enables students to ensure that their competencies and skills match the required qualifications and abilities, which will prevent further disappointment and ensure fruitful subject – environment interaction. The authors underline that at the stage of career planning, students require special psychological support and guidelines. The authors have elaborated and tested a career development program called “On my Career Path”. The career development program is based on ideas and hypotheses proposed by M. Vishnyakova and N. S. Pryazhnikov. The article characterizes the program “On my Career Path”, discusses its goals, objectives, its content and test results. The program provides consulting support to students, focuses on the troubleshooting process, considers students’ requirements and assesses failures of their individual career development strategies. Addressing scholars and psychologists working on the issue, the authors highlight that to ensure efficient career-oriented education, it is essential that students should have an opportunity to attend long-term career-oriented training courses.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.101
GPT teacher head0.375
Teacher spread0.274 · 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 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

Citations3
Published2020
Admission routes1
Has abstractyes

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