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Record W6969364838 · doi:10.5281/zenodo.7238168

A Study on The Situations of Soliga Tribes in Karnataka

2022· article· en· W6969364838 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldDecision Sciences
TopicScientific Computing and Data Management
Canadian institutionsnot available
Fundersnot available
KeywordsNoticeEthnic groupTamilLegendPopulationQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

Soliga, also spelled Sholaga and Shōlaga, is an ethnic group of India. Its members inhabit the Biligiriranga Hills and associated ranges in southern Karnataka, mostly in the Chamarajanagar and Erode districts of Tamil Nadu. Many are also concentrated in and around the B.R. Hills in Yelandur and Kollegal Taluks of Chamarajanagar District, Karnataka. The Soliga speak Sholaga, which belongs to the Dravidian family. A scheduled tribe, they have a population of around 20,000 individuals. The soliga people of the biligirirangana betta (BR Hills) have captured the imagination of early travellers . Their first mention in written history dates back to the early nineteenth century expenditions to the region sidde gowda, asokliga elder from bedaguli podu, nestled among the moist deciduous forests in the northern parts of BR Hills, recollects an old tale, almost a legend now among the soliga people, the tale of a god-like man wearing bili batte (white clothes; could indicate mordent clothing) who came on a horse followed by several people. Perhaps, this is the only remaining memory among the soliga people of a journey undertaken by a Scottish doctor around 200 years ago. Francis Buchanan left us a journal of his notice from passage through BR Hills in October 1800, perhaps the first ever written record (in English) of the soliga people. Soligas grow ragi and collect and sell nontimber forest produce such as honey and amla for their livelihoods.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.007
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.258
GPT teacher head0.366
Teacher spread0.108 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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