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Record W1963745467 · doi:10.1080/02783190409554258

The socio‐affective and academic impact of early entrance to school

2004· article· en· W1963745467 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRoeper Review · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologyMaturity (psychological)Developmental psychologyAcademic achievementMathematics education

Abstract

fetched live from OpenAlex

How well do early school entrants adjust socio‐affectively when compared to their regularly admitted peers? Despite numerous publications on the subject, much controversy remains, mainly because of methodologically fragile studies. To assess the impact of a new early entrance policy in Quebec, 36 kindergarten and 42 Grade 2 teachers who had at least one early entrant in their class ranked all their students on four bipolar dimensions (conduct, social integration, academic maturity, and academic achievement). Data were collected for 98 early entrants and 1,723 regularly admitted children. The results revealed no substantial differences between the two groups, but a low correlation between age and adjustment among regularly admitted students. A semi‐qualitative analysis showed that the teachers judged a significant percentage of early entrants less than well adjusted; perhaps explaining to a large extent the continuing resistance from educators and parents. Still, boys and the youngest among regularly admitted students were the two populations found much more at risk for social‐emotional problems than early entrants.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.023
GPT teacher head0.386
Teacher spread0.364 · 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