Predictors of Grade 2 Word Reading and Vocabulary Learning from Grade 1 Variables in Spanish‐Speaking Children: Similarities and Differences
Bibliographic record
Abstract
We examined the components of first (L1) and second language (L2) phonological processing that are related to L2 word reading and vocabulary. Spanish‐speaking English learners (EL) were classified as average or low readers in grades 1 and 2. A large number of children who started out as poor readers in first grade became average readers in second grade while vocabulary scores were more stable. Binary logistic regressions examined variables related to classifications of consistently average, consistently low, or improving on reading or vocabulary across grades. Good L2 phonological short‐term memory and phonological awareness scores predicted good reading and vocabulary scores. L1 and L2 measures differentiated consistently good performers from consistently low performers, while only L2 measures differentiated children who improved from children who remained low performers. Children who are EL should be screened on measures of pseudoword repetition and phonological awareness with low scorers being good candidates for receiving extra assistance in acquiring L2 vocabulary and reading. This study suggests measures that can be used to select children who have a greater likelihood of experiencing difficulties in reading and vocabulary.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".