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Record W3182087536 · doi:10.15826/lurian.2021.2.1.6

Children, Society and Future. Proceedings of the III Congress on Mental Health: Meeting the Needs of the XXI Century

2021· article· en· W3182087536 on OpenAlexaboutno aff
Vladimir Borodin, Natalia Treushnikova

Bibliographic record

VenueLurian Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthVariety (cybernetics)European unionPsychologyPolitical scienceMedical educationMedicinePsychiatryComputer science

Abstract

fetched live from OpenAlex

The paper presents a review of the Collection of Research Papers of the III Congress on Mental Health: Meeting the Needs of the XXI Century – CHILDREN, SOCIETY, and FUTURE. The authors are medical and non-medical specialists from more than 130 research and educational institutions located in Russia, USA, Canada, Germany, UK, Israel, Spain, Greece, Brazil, Mexica, Portugal, Thailand, Belorussia, and Kyrgyz Republic. They share the latest results of research and practical activities on a wide range of mental health problems of children and adolescents in different areas of scientific knowledge including general medicine, psychiatry, psychotherapy, psychology, social policy, education, law, economics, sports and art. Scientific and practical evidence and approaches to solving problems in the field of mental health and well-being of children and adolescents, presented in an interdisciplinary format and described in more than 200 articles, provide invaluable reference materials for researchers and practitioners. The variety of topics and approaches to solving certain mental health problems of children and adolescents, touched upon in the works of representatives of different disciplines, reflects the breadth of search for general and specific answers to the most complex and painful questions, which in most cases requires thoughtful interdisciplinary interaction. To show this in all possible completeness and at the same time to try to stimulate the further development of these promising trends is the main goal of this Collection. The e-version of the collection is available on the Union for Mental Health website: http://www.mental-health-congress.ru/en/

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 score0.269
Threshold uncertainty score0.463

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 studies0.0010.000
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 head0.009
GPT teacher head0.260
Teacher spread0.251 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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