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Record W2143334586 · doi:10.1177/0022219413509970

Morphological Awareness and Vocabulary Development Among Kindergarteners With Different Ability Levels

2013· article· en· W2143334586 on OpenAlexaff
Gloria Ramírez, Patrick Walton, William L. Roberts

Bibliographic record

VenueJournal of Learning Disabilities · 2013
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsThompson Rivers University
FundersHarvard Graduate School of Education
KeywordsVocabularyPsychologyVocabulary developmentDisadvantagedDevelopmental psychologyContext (archaeology)Intervention (counseling)Mathematics educationTeaching methodLinguistics

Abstract

fetched live from OpenAlex

Our goal was to investigate the growth of vocabulary and morphological awareness over time in the context of an intervention for kindergartners with different ability levels in these skills. Participants in this exploratory study were 108 children from schools serving socioeconomically disadvantaged neighborhoods. Results indicated that children significantly improved their morphological awareness skills and vocabulary over a period of 4 months ( eta(p)(2) = .61 for morphological awareness and eta(p)(2) = .53 for vocabulary), with the greatest gains made by children who were initially low on these measures. Morphological awareness and vocabulary skills were reciprocally related; each made a unique contribution to growth in the other. The results suggest that it may be beneficial to combine instruction in vocabulary and morphological awareness and that kindergarten teachers can successfully do so with guidance.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.282
Teacher spread0.253 · 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

Citations99
Published2013
Admission routes1
Has abstractyes

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