Bibliographic record
Abstract
Abstract The linguistic landscape (henceforth LL) has proven to be a fruitful approach for investigating various societal dimensions of written language use in the public sphere. First introduced in the context of bilingual Canada as a gauge for measuring ethnolinguistic vitality, in the 21st century it is the focus of a thriving field of inquiry with its own conference series, an increasing number of publications, and an international journal dedicated exclusively to investigating language and other semiotic resources used in the public arena. The scholarship in this domain has centered on European and North American geographical sites; however, an increasingly voluminous share of studies addresses the LL of sites across the world through both books and articles. African contributions have added an important dimension to this knowledge base as southern multilingualisms bring into question the very concept of language in that speakers and writers draw on their rich linguistic repertoires, avoiding any compartmentalization or separation of what is traditionally conceived of as languages. The LL of Ethiopia has contributed to this growing base of empirical studies in the exploration of language policy issues, identity constructions, language contact, and the sociolinguistics of globalization. A new language policy of ethnic federalism was introduced to the country in the 1990s following a civil war and through a new constitution. This policy was set to recognize the various ethnolinguistic groups in the country and the official use of ethnic/regional languages to satisfy local political and educational needs. Through this, languages previously unwritten required a script in order for speakers to communicate in them in written texts. And many regions have chosen the Latin script above the Ethiopic script. Nonetheless, some languages remain invisible in the public sphere. These events create an exciting laboratory for studying the LL. Given the change of language policy since the late 20th century and the fast-growing economy of Ethiopia (one of the poorest countries on the continent) the manifest and increasingly visible display of languages in the LL provides an excellent lens for studying various sociolinguistic phenomena.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".