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Record W3033638861 · doi:10.1017/s0025100319000367

Kalasha (Bumburet variety)

2020· article· en· W3033638861 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the International Phonetic Association · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsTyndale UniversityUniversity of Toronto
Fundersnot available
KeywordsUrduLingua francaArabicLexiconLinguisticsVariety (cybernetics)Aryan raceLanguages of AsiaHistoryLanguage contactGeographyAncient historyArtificial intelligenceComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Kalasha (ISO 639-3: kls), also known as Kalashamon, is a Northwestern Indo-Aryan language spoken in Chitral District of Khyber Pakhtunkwa Province in northern Pakistan, primarily in the valleys of Bumburet, Rumbur, Urtsun, and Birir, as shown in Figure 1. The number of speakers is estimated between 3000 and 5000. The Ethnologue classifies the language status as ‘vigorous’ (Eberhard, Simons & Fennig 2019) but some researchers consider it ‘threatened’ (Rahman 2006, Khan & Mela-Athanasopoulou 2011). Kalasha has been in close contact with Nuristani and other Northwestern Indo-Aryan languages. Among the latter, the influence of Khowar has been particularly strong because it functions as a lingua franca of Chitral District (Liljegren & Khan 2017). The Kalasha lexicon includes many loanwords from Khowar, as well as from Persian, Arabic, and Urdu (Trail & Cooper 1999). Early efforts to put the language in writing employed Arabic script but a Latin-based script was adopted in 2000 (Cooper 2005, Kalash & Heegård 2016).

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.280
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it