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Record W4379791212 · doi:10.4157/ejgeo.18.170

Geographic Study of the Developmental Environments and Health Problems of Children with Foreign Roots: Case Study of an Area with Scattered Foreigners

2023· article· en· W4379791212 on OpenAlexfundno aff
Nobuyuki Iwama, NAKAJIMA Minako, Tatsuto Asakawa, Koichi Tanaka, SASAKI Midori, KOMAKI Nobuhiko, Ikeda Masashi, Tomoko Imai, KAINUMA Emi

Bibliographic record

VenueE-journal GEO · 2023
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
FundersMinistry of Education, Culture, Sports, Science and TechnologyOntario Water ConsortiumUNICEF
KeywordsGeographyPsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

本研究の目的は,外国人散在地域を事例に,外国にルーツのある子どもたちの成育環境と健康状態の関係を解明することにある.外国人労働者が増加する今日,外国人世帯の生活環境の改善は喫緊の課題である.中でも,外国人散在地域では,外国にルーツのある子どもたちの健全な成育環境の確保が難しいと推測される.そこで本研究では,外国人散在地域に該当する地方都市を事例に,3歳児健診データを分析した.その結果,成育環境の悪化がう蝕(虫歯)などの健康被害を誘引し得ることが明らかになった.特に,所得が低く社会的に孤立していると考えられる外国人世帯の子どもたちの間で,健康被害が顕著であった.一方,社会的統合の程度が高いと推測される世帯では,こうした傾向はみられなかった.社会的排除状態にある外国人世帯は,家族や社会から十分な支援を受けにくい.このことが子どもたちの成育環境を悪化させ,健康被害をもたらすと考えられる.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.129
GPT teacher head0.382
Teacher spread0.253 · 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 designQualitative
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

Citations2
Published2023
Admission routes1
Has abstractyes

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Same venueE-journal GEOSame topicFood Security and Health in Diverse PopulationsFrench-language works237,207