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Record W4297038768 · doi:10.32370/ia_2022_09_9

Understanding Occupational Safety and Health in Technology Teacher Training in the Context of Economic Growth of Society

2022· article· en· W4297038768 on OpenAlexvenueno aff
Anton Ozekin

Bibliographic record

VenueIntellectual Archive · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationCompetence (human resources)Process (computing)Context (archaeology)Engineering ethicsEmerging technologiesWork (physics)Public relationsPsychologyBusinessKnowledge managementPolitical scienceComputer scienceEngineeringPedagogySocial psychologyArtificial intelligence

Abstract

fetched live from OpenAlex

The article examines the role of future vocational teachers in the social and labor dynamics of the development of society. Emphasised on the self-realization of a young person in work, which requires a new approach to considering the concept of "work", which stems from the 17 Sustainable Development Goals adopted by the UNO in 2015. The author presents the functions of work. accentuated on understanding of Occupational Safety and Health, Occupational Hygiene in the training vocational teachers. Underlined, that in the pre-pandemic era, new technologies were gradually introduced taking into account artificial intelligence (artificial intelligence makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks), currently the COVID-19 pandemic and accompanying social distancing measures have accelerated the process of innovation and technological changes. Such rapid transformations in technologies and processes require new approaches to consideration of Life Safety, behavior in youth readiness for Health-Preserving Activities and Occupational Hygiene, formation of Health-Preserving Competence. The author comes to the conclusion that the professional training future vocational teachers must be constantly improved due to the challenges of rapid technological progress, which requires at each period of the development of society the production of new knowledge and training new people capable of meeting modern production technologies.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.157

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.168
GPT teacher head0.328
Teacher spread0.160 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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