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The Tanzanian Rift Valley area

2007· book-chapter· en· W76444556 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

VenueCambridge University Press eBooks · 2007
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLanguage and cultural evolution
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsBantu languagesLanguage contactLinguisticsTanzaniaGeographyEthnologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

The Rift Valley area of central and northern Tanzania is of considerable interest for the study of language contact, since it is unique in being the only area in Africa where members of all four language families are, and have been, in contact for a long time, having had linguistic interaction of various intensity at various points in time, which is reflected by convergence in parts of their grammatical structures (see map 6.1). The modern languages that took part in this linguistic contact are the West Rift languages of Southern Cushitic (Iraqw, Gorwaa, Alagwa, and Burunge), the Datooga dialects of Southern Nilotic, some Bantu languages of the F zone (Nyaturu, Rangi, Mbugwe, and maybe Nilyamba, Isanzu, and Kimbu), and Sandawe and Hadza, the Khoisan languages of eastern Africa. Actually, in the absence of any unambiguous indication that Hadza is genetically linked to Khoisan, it is better to be considered a linguistic isolate; see Sands (1998). The fact that the languages involved come from different, genetically unrelated families makes this area very promising for the study of language contact in that similarities between languages have five possible explanations: (i) universal properties, (ii) chance, (iii) borrowing or diffusion, (iv) retention, or (v) parallel development (Aikhenvald & Dixon 2001).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.948
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.238
Teacher spread0.202 · 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