Bibliographic record
Abstract
Contents: Introduction Bilal Barakat - Hans-Peter Blossfeld: The search for a demography of education: some thoughts Demographic Debate Wolfgang Lutz: Education will be at the heart of 21st century demography Harvey J. Graff: The Literacy Myth: literacy, education and demography Alaka Malwade Basu: Mass schooling, empowerment, and demographic and economic outcomes: a note of dissent Refereed Articles John Bongaarts: The causes of educational differences in fertility in Sub-Saharan Africa Christos Bagavos: Education and childlessness: the relationship between educational field, educational level, employment and childlessness among Greek women born in 1955-195 Karel Neels - David De Wachter: Postponement and recuperation of Belgian fertility: how are they related to rising female educational attainment? Jan Van Bavel - Joanna Ró¿a¿ska-Putek: Second birth rates across europe: interactions between women's level of education and child care enrolment Johannes Klotz: Convergence or divergence of educational disparities in mortality and morbidity? The evolution of life expectancy and health expectancy by educational attainment in Austria in 1981-2006 Regina Fuchs - Elsie Pamuk - Wolfgang Lutz: Education or wealth: which matters more for reducing child mortality in developing countries? Samir KC - Harold Lentzner: The effect of education on adult mortality and disability: a global perspective Priska Flandorfer - Katrin Fliegenschnee: Education and health: theoretical considerations based on a qualitative grounded theory Martin Spielauer: Persistence and change of the relative difference in educational attainment by ethno-cultural group and gender in Canada Eduardo Luiz Gonçalves Rios-Neto - Raquel Rangel de Meireles Guimarães: The demography of education in Brazil: inequality of educational opportunities based on Grade Progression Probability (1986-2008)
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.007 | 0.020 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".