Academic discourse: Dissociating standardized and conversational measures of language proficiency in bilingual kindergarteners
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
This study examined the relationship between performance on standardized measures of language proficiency and conversational measures of the same features used in academic discourse among 24 monolingual and 25 bilingual kindergarteners. Academic discourse performance was considered for both its linguistic and its genre features in two discourse forms: narrative and explanation. Bilinguals performed more poorly than monolinguals on standardized measures of language proficiency, yet they performed similarly to monolinguals in the discourse-based linguistic and genre features. Moreover, genre features were more strongly related to linguistic features assessed through discourse than to standardized tests of these same features. These findings indicate that standardized measures of language proficiency underrepresent the abilities of bilingual children and that children's second language proficiency may be more accurately reflected in conversation.
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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 | 0.000 | 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) | 0.000 | 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