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Record W7010028613

Globalization and the early life course A description of selected economic and demographic trends

2002· other· en· W7010028613 on OpenAlexaboutno aff

Bibliographic record

VenueOpenGrey (Institut de l'Information Scientifique et Technique) · 2002
Typeother
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationCluster (spacecraft)Aggregate (composite)Life course approachWelfareVolume (thermodynamics)
DOInot available

Abstract

fetched live from OpenAlex

'The purpose of this chapter is to present some graphic materials that illustrate at the aggregate level selected points made in the introductory chapter to this volume. It is divided into 2 sections, the first on economic developments related to the globalization process, the second on demographic developments that can be seen as related to changes in economic opportunities and constraints over time. The graphic materials presented in both sections follow a similar design. That is, the 14 countries reported on in this volume are grouped into 5 ideal-typical clusters corresponding to (the expanded version of) Esping-Andersen's (1999) scheme of welfare regimes: conservative (Germany, the Netherlands, France), social-democratic (Sweden, Norway), post-socialist (Hungary, Estonia), liberal (Great Britain, Canada, United States of America), and familistic (Mexico, Italy, Spain, Ireland). Where possible, each cluster is supplemented with data on 1 or 2 additional countries that are not included in this volume but which may make it easier to generalize more broadly. The time series data to be presented for these countries are ordered either by calendar year (covering the last 5 or 2 decades of the 20th century, depending on data availability), or by birth cohort. Sources used vary from several ILO, OECD and EUROSTAT publications to country-specific FFS or other reports, as indicated at the bottom of each graph. Great care has been taken to make all data series as comparable as possible.' (author's abstract)

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 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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.615
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
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 head0.021
GPT teacher head0.285
Teacher spread0.264 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations6
Published2002
Admission routes1
Has abstractyes

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