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Record W4281492628 · doi:10.5281/zenodo.6578305

ERTA IJTIMOIY YETIMLIK VA UNING OQIBATLARI

2022· paratext· uz· W4281492628 on OpenAlexaff
Z.A'zamova, O'.Ahmedova

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typeparatext
Languageuz
FieldSocial Sciences
TopicEducation, Innovation and Language Studies
Canadian institutionsOntario Clinical Oncology Group
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Yetim va ota-ona qaramog‘isiz qolgan bolalarni ijtimoiy himoya qilish davlat va jamiyatning muhim vazifalaridan biri hisoblanadi. Yetimlikning oldini olish muammosi bola hayotining boshlanishida alohida e’tiborni talab qiladi. Tug‘ilishi bilan onadan mahrum bo’lgan bolani olti oylik davridayoq rivojlanishdan sezilarli darajada ortda qoladi, bir yildan keyin esa emotsionallik va intellektning tegishli imkoniyatini o‘rnini to‘ldirib bo‘lmas darajada yo‘qotadi. Chaqaloq uchun onalik mehri hozir ham, kelajakda ham har tomonlama rivojlanishi muhim ahamiyatga ega.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.353
Threshold uncertainty score0.923

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0110.006
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.3530.172

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 head0.063
GPT teacher head0.328
Teacher spread0.265 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Explore more

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