Slovene as the second/foreign language in Slovene pre-school institutions
Bibliographic record
Abstract
Slovenia has long been a place for immigration; with the accession into the European Union it has become even more interesting for different groups of immigrants from European and non-European countries. According to the Statistical Office of the Republic of Slovenia, 106.486 foreigners (5.16% of overall population in Slovenia) were living in Slovenia at the end of 2015. It is expected that this migration trend in the light of world events continues or even increases. One of the key factors for the successful integration of young generations of migrants in society is education. The survey Index of the policy of integration of migrants (MIPEX, 2015), implemented by the British Council and Migration Policy Group, shows that few education systems in Europe are adapting to the realities of immigration. Sweden, Australia, New Zealand, Norway, Canada, Portugal are the most engaged countries, whereas Slovenia is among the least committed (it ranks 28 among 38 selected countries). Language has a major role in supporting children’s process of identity formation and in helping them understand where they fit in the new environment they are entering. Language is, of course, not the only factor that promotes integration and enables successful education, but the fact remains that immigrant pupils are better achievers in those countries that pay greater attention to second/foreign language learning starting in preschool institutions. In the present paper we discuss the Slovene pre-school teachers’ and pre-school teacher assistants' attitudes towards learning Slovene as the second/foreign language in Slovene pre-school institutions. The research was conducted on a sample of 143 pre-school teachers and pre-school teacher assistants. The results imply that Slovene pre-school teachers and pre-school teacher assistants hold positive attitudes towards learning Slovene as a second/foreign language, they see their role as the promoters of learning Slovene as a second/foreign language to non-Slovene children, but they strongly express the lack of training in language learning strategies of Slovene as a second/foreign language. \nKeywords: Slovene, second/foreign language, preschool institutions, pre-school teacher and pre-school teacher assistant
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".