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Record W7110710781

Education level of the Luxembourg population : sustained, contrasting growth depending on origin

2024· preprint· fr· W7110710781 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

VenueOpen Repository and Bibliography (University of Luxembourg) · 2024
Typepreprint
Languagefr
FieldSocial Sciences
TopicMigration, Policy, and Dickens Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationPopulation growthPeriod (music)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Indicateur essentiel de développement humain et de progrès socioéconomique, le niveau d’éducation de la population résidente a connu une croissance rapide sur la période intercensitaire 2011-2021 : près de la moitié (48.3%) des adultes de moins de 40 ans a effectué des études supérieures (dont 28% a le niveau Master ou plus). Ces transformations dissimulent des différences entre les natifs du Luxembourg et de l’étranger, de fortes inégalités caractérisant les immigrés selon leurs origines nationales, entre « l'immigration dorée » et l’immigration de travail peu qualifié, mais aussi de fortes disparités générationnelles. Ces inégalités de diplôme sont inscrites dans le territoire du Luxembourg, puisqu’elles accompagnent les effets de centralité opposant les territoires économiquement les plus actifs, proches de la capitale, et les communes plus éloignées, en particulier dans la moitié nord du pays, mais aussi dans le sud post-industriel.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.008
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.063
GPT teacher head0.308
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