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Record W2394886952

[The social portrait of substitute families and modes of development of medical pedagogical monitoring].

2015· article· en· W2394886952 on OpenAlexaboutno aff
Aver'ianova Ni, Khanova Na

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologyDevelopmental psychologyRehabilitationQuality (philosophy)Style (visual arts)MedicineGeography
DOInot available

Abstract

fetched live from OpenAlex

The study demonstrated that in Russia the major cause of orphanage is a social life-style of biological parents of orphan children. The substitute families are more often large with number of children from 3 to 8 and quarter of them are incomplete. The mean age of substitute parent consists 47.8 ± 1.4 years. The leading motivation to take orphan child/or education in family is the availability of kindred relationship regarding child or "deserted nest syndrome". At the initial phase of establishing of substitute family the most of substitute parents/tutors face with problems of health status and behavioral deviations of foster children. The substitute parents are unsatisfied with quality of medical monitoring of foster children. They also suffer fromdeficiency of information concerning characteristics of development, health conditions and modes of rehabilitation of children. In the judgment of substitute parents/tutors placing child into family conditions effects positively on one's development and health, behavior and emotional background. In substitute families, conditions organized for children can be named as approximated to conditions of residing in biological (home) families. The system of medical psychological and pedagogical monitoring of children of this category is needed in further development.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.229

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 head0.251
GPT teacher head0.409
Teacher spread0.158 · 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
Published2015
Admission routes1
Has abstractyes

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