Written narrations by 8‐ to 10‐year‐old Turkish pupils in Flemish primary education: A follow‐up of seven text features
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 semi‐longitudinal study examined the development of narrative writing quality of young Turkish second language learners in mainstream Dutch‐only education, and the impact of student‐level and classroom‐level predictors of narrative writing quality, using hierarchical linear modelling. Writing samples of 106 third graders and 111 fourth graders of seven Flemish primary schools were collected at the beginning and at the end of the school year. Measures included one holistic primary trait judgement, and six objective indices of text quality. Student‐level predictors included age, SES and home language, while the classroom‐level predictor focused on the home language pattern of the classroom. There was a significant mean growth for each index in each grade, but effect sizes differed from quite large for content and word level indices over moderate for sentence level indices to small for the text level index. Home language (Turkish) had a significant negative effect on all but one variables, particularly in Grade 4, while the negative effect of low SES was much more limited. A supplementary negative effect was found for homogeneity of classroom population. Implications of the study highlight the importance of student and classroom characteristics in writing achievement as well as the need to consider the poor performance of Turkish children.
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 | 0.008 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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