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Record W3205320389 · doi:10.53730/ijhs.v5n3.1512

Ecological situation: the role of education and spirituality in improving health of population

2021· article· en· W3205320389 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Health Sciences · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEngineering and Agricultural Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationIndustrialisationGeographySpiritualityPopulation growthQuarter (Canadian coin)Literacy rateMortality rateInfant mortalityDemographyPopulation healthEcologyEconomic growthSocioeconomicsPolitical scienceSociologyMedicineBiologyEconomics

Abstract

fetched live from OpenAlex

Human health is one of the most important issues for every period of society’s development. After all, the state of development of any country is determined by the level of health and literacy of the population living in the region. The article highlights the ecological situation, the role of knowledge and spirituality in strengthening the health of the population in Uzbekistan, the achievements of medicine, ecology, socio-demographic development in the country during the years of independence data on the reduction of infant and maternal mortality in the age group of the population are also presented. It is known that in more than a quarter of a century (1991-2019), the total mortality rate in the country's population decreased by 1.2% or decreased from 6.2 per thousand to 4.9 per thousand. However, there are still areas with high mortality rates (in Tashkent, Tashkent, and Andijan regions), which can be explained by their location at the transport hub and industrialization. The study and analysis of their regional aspects are some of the important aspects of geographical research. The article also focuses on the issues related to climate change and their impact on the nosoecological situation.

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.

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 score0.815
Threshold uncertainty score0.116

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 head0.028
GPT teacher head0.320
Teacher spread0.293 · 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