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
Turkey exposed to several mass immigration movements due to its location, is not a “transit country” anymore for immigrants, but a “target country”. Since the day that the migration flows have started, Turkey developed various policies regarding the education of immigrant children. And by the year 2016, these children have begun to be included in the Turkish education system. Research findings reveal that immigrant children face the number of challenges in their education life. These problems include communication and discrimination problems arising out of language and cultural differences. Many countries exposed to mass immigration movements in the world often use multicultural education approaches to solve the educational issues of newcomers. Therefore, comprehensive literature research is needed and that this research will be useful to see the subject as a whole. The findings of the study revealed that the three basic approaches to teacher education could be defined in six stages, each of which consists of two phases. The educators of teachers and policymakers can examine these approaches and evaluate the strengths and weaknesses of each of them based on their philosophical stances about multiculturalism.
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