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Record W6901832560 · doi:10.6068/dp16d17b579c136

TREND: World Bank. World Development Indicators: Health | Country: Canada, Denmark, United States | Socioeconomic Indicator: Smoking prevalence, total (ages 15+), Survival to age 65, male (% of cohort), 1960 - 2017. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 051-001-039

2019· other· en· W6901832560 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)Public healthSocioeconomic statusMillennium Development GoalsWorld Development IndicatorsPopulationHealth careSocioeconomic developmentGlobal health

Abstract

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World Bank. World Development Indicators: Health | Country: Canada, Denmark, United States | Socioeconomic Indicator: Smoking prevalence, total (ages 15+), Survival to age 65, male (% of cohort), 1960 - 2017. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 051-001-039 Dataset: The 91 Health indicators include metrics on disease prevention, health services, mortality, nutrition, population dynamics and structure, reproductive health, and health risk factors. For World Bank definitions of each indicator included here, see http://statisticaldatasets.data-planet.com/DSCites/WDIHE.pdf . The World Bank provides broad and open access to a comprehensive set of internationally comparable national-level data on development and conditions of people’s lives in nations around the world, as an aid to policymakers and researchers, and to those monitoring progress toward the United Nations Millennium Development Goals (http://www.un.org/millenniumgoals/bkgd.shtml ). The time series provided here contains over 1,100 indicators covering 213 economies. Data include indicators of education, environment, economic, financial, infrastructure, health, labor and social protection, poverty, private sector and trade, and public sector development of the world's nations. https://datacatalog.worldbank.org/dataset/world-development-indicators Category: Health and Vital Statistics, International Relations and Trade Subject: Disease Prevention, Health Care Services, Death Rates, Nutrition, Health, Population, Malnutrition, Health Care Access, Health Risk Source: World Bank Founded in 1944 as a result of the Bretton Woods Conference, the World Bank is an independent specialized agency of the United Nations that provides financial and technical assistance to developing countries in order to foster economic growth and reduce poverty. Today, the World Bank Group comprises five institutions owned by 187 member countries: the International Bank for Reconstruction and Development (IBRD), which focuses on middle-income and creditworthy poor countries; the International Development Association (IDA), which focuses on least developed countries; the International Finance Corporation (IFC); the Multilateral Guarantee Agency (MIGA); and the International Centre for the Settlement of Investment Disputes (ICSID). http://www.worldbank.org/

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)0.003
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.455
Threshold uncertainty score0.916

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0070.040
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0040.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0960.086

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 head0.023
GPT teacher head0.268
Teacher spread0.245 · 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 designNot applicable
Domainnot available
GenreDataset

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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