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Record W3123363474

The Prince and the Pauper: Movement of Children Up and Down the Canadian Income Distribution, 1994-2004

2009· preprint· en· W3123363474 on OpenAlexaboutno aff
Peter Burton, Shelley Phipps

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2009
Typepreprint
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsnot available
Fundersnot available
KeywordsMicrodata (statistics)Distribution (mathematics)Income distributionDemographic economicsGeographyInequalityHousehold incomeFamily incomeDemographyEconomicsEconomic growthSociologyPopulationCensusMathematics
DOInot available

Abstract

fetched live from OpenAlex

This paper uses longitudinal microdata from the Statistics Canada National Longitudinal Survey of Children and Youth (NLSCY) spanning the years 1994 through 2004 to study patterns of family income experienced by a cohort of 7163 Canadian children for most of their childhood. Five principal questions are addressed: 1) What trends in the level of real family income are apparent?; 2) What happens to inequality of income among this group of children as they grow up?; 3) Are the same children always the ones to be ‘stuck at the bottom’ or, alternatively, ‘secure at the top’ of the relative income distribution?; 4) What are the characteristics of the children who are most likely to ever or always be in the bottom (or top) of the distribution?; 5) What changes in characteristics are associated with movements up or down the income distribution?

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.894
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.027
GPT teacher head0.260
Teacher spread0.234 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations3
Published2009
Admission routes1
Has abstractyes

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