Bibliographic record
Abstract
Serbian is a unique example of active digraphia, that is, the use of two scripts by the same speech community. Writers of Serbian use both the Cyrillic and Latin alphabets in various domains. Moreover, the Internet has brought to the fore competing orthographic variants within the Serbian Latin writing system. Technology-driven and ideologically motivated, non-standard de facto orthographic norms emerge as a result of the medium’s affordances embedded in a given socio-political context. This paper presents a case study on alphabet choice and the use of non-standard orthographic variants on two Serbian news websites, Politika Online and B92 . The results show that a two-fold process occurs in Serbian orthographic practices, emerging from Internet discourses from below, including online commentaries: the dominance of the Latin alphabet over Cyrillic; and the stabilization of non-standard Latin orthographic variants. Metalinguistic commentaries of online posters illustrate the tension between pragmatic concerns and language ideologies.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.044 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".