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Record W409324551

Алкоголь как социально-значимая причина смертности молодежи города Иркутска

2012· article· ru· W409324551 on OpenAlex
Зимина Лилия Александровна, Зайцев Александр Петрович, Боева Алла Васильевна

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

VenueИзвестия Самарского научного центра Российской академии наук · 2012
Typearticle
Languageru
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental healthAlcohol consumptionAlcoholPopulationDemographyMedicineQuarter (Canadian coin)Injury preventionPoison controlGeographyBiologySociology
DOInot available

Abstract

fetched live from OpenAlex

The research presents the analysis of alcohol related mortality of the population due to violent and nonviolent reasons during the twelve years in Irkutsk. Also, it is to estimate a prevalence of alcohol consumption among the young people. It is established, that the share of young people in the structure of alcohol related deaths is increasing. About a quarter of all cases of deaths, resulting from ethyl alcohol poisoning, occurred in young age group. The level of alcohol attributable deaths due to violence reasons are not decreasing. The high level of prevalence of the use of alcoholic beverages is noted among student's youth.

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)0.015
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.004
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0070.003
Bibliometrics0.0030.005
Science and technology studies0.0030.002
Scholarly communication0.0010.004
Open science0.0030.001
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0190.029

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 head0.076
GPT teacher head0.399
Teacher spread0.323 · 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