Perspectives on bilingual children's narratives elicited with the Multilingual Assessment Instrument for Narratives
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 Special Issue is all about the stories of children: preschool- and school-age children; bilingual and monolingual children; children developing typically or identified as having a specific language impairment (SLI); and children speaking and experiencing one or more of the following languages: English, Finnish, German, Greek, Hebrew, Italian, Russian, Slovak, Swedish, and Turkish in minority or majority language contexts. The stories are fictional ones, about baby birds and baby goats, a cat and a dog: a cast of characters the reader will come to know well as they read the Introduction (Gagarina, Klop, Tsimpli, & Walters, 2016) and individual articles. They were collected using a new narrative assessment tool that is common to all the articles within the issue: the Language Impairment Testing in Multilingual Settings—Multilingual Assessment Instrument for Narratives (LITMUS-MAIN; Gagarina et al., 2012, 2015), described at some length by its developers in the Introduction to the Special Issue.
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 | 0.001 | 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