Well-established monolingual literacy predictors in bilinguals
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.
Bibliographic record
Abstract
An important component of early reading intervention is the development and implementation of effective literacy screening tools. Historically, these precursor screening metrics have been designed primarily for the early identification and remediation of potential reading difficulties in monolingual English-speaking children—a focus that overlooks the significant population of bilingual children worldwide. This systematic literature review examines whether the precursor literacy skills commonly utilized for monolingual English-speaking cohorts have been systematically assessed and validated as predictors of later reading development in simultaneous bilingual children. Our findings demonstrate that the nine major literacy precursors identified in monolingual literature also significantly correlate with, and predict, reading performance in simultaneous bilingual children. These nine distinct literacy precursors comprise phonological awareness, letter knowledge, serial recall, oral language comprehension, vocabulary, grammar, memory, non-verbal intelligence, and word decoding.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it