Jezično planiranje u odnosu na malu jezičnu zajednicu (primjer italofone jezične zajednice u zapadnoj Slavoniji)
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
Almost a quarter of a century ago, in 1992, Michael Kraus affirmed that a language should not fear for its future, i. e. won’t be extinguished, if it is spoken by at least 100 000 speakers. However, this statement failed to be reliable since there have been languages spoken by hardly 100 000 people that have not been endangered as well as those whose future is insecure and even at risk despite a million of its speakers. The Italian communities situated in western Slavonia, and in particular on the territory of three small towns, Lipik, Kutina, and Pakrac, represent one of those highly endangered linguistic enclaves. This paper aims to detect reasons that endanger the Italian speaking communities in western Slavonia, since other Italian communities in Croatia do not face the same situation. I start from the assumption that within the existing legal acts and institutionalised activities, there have been recesses concerning acquisition planning, unexploited so far, that could slow down the process of vanishing of this Italian enclave, or that could help it to preserve its cultural identity.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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