Gender and Language Issues in Assessing Early Literacy
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
The study investigated gender and language group differences in children's performance on two versions of the Test of Early Reading Ability (TERA-2 and TERA-3). Two groups of children consisting of girls and boys and English first language (L1) and English language learners (ELL) participated in the study. Children in Group 1 completed the TERA-2, in which standard procedures involve obtaining a total score of children's early reading ability. Alternatively, children in Group 2 were administered the TERA-3, which yields measures of children's ability on three individual subtests (alphabet, conventions, and meaning). Results showed that gender and language group differences on the TERA-2 were not evident. However, L1 children outperformed ELL children on the meaning subtest of the TERA-3, while showing no differences on either alphabet or conventions. The findings speak to the importance of measuring individual components of early reading to assess children's emergent literacy.
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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 | 0.002 | 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) | 0.000 | 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