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Record W7005659868

The Relative Role of Parental Income and Parental Education in Child Educational Achievement and Socioeconomic Status Attainment: A Decomposition Approach

2022· other· en· W7005659868 on OpenAlexfundno aff

Bibliographic record

VenueTSpace · 2022
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchUniversity of TorontoSocial Sciences and Humanities Research Council of CanadaGovernment of Canada
KeywordsEducational attainmentSocioeconomic statusFamily incomeObservational studyCausal modelEducational research
DOInot available

Abstract

fetched live from OpenAlex

In this paper, we provide evidence on the relative importance of two family background variables for the educational attainment and income level achieved by Canadians: parental education and parental income. We find that parental education is more strongly related to a child’s educational attainment than parental income, although parental income also plays a significant role both statistically and substantively. These findings call into question less nuanced interpretations of some existing studies, which often appear to discount the role of parental income and financial obstacles to postsecondary education participation. At the same time, this study is consistent with existing evidence of the independent role of parental education in child educational attainment, hinting at important non-financial obstacles to educational attainment. Our insights are based on observational data and provide relevant insights for further causal research as well as discussions of new policy interventions.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.258

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.003
GPT teacher head0.283
Teacher spread0.280 · 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 designObservational
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

Citations4
Published2022
Admission routes1
Has abstractyes

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