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Record W4225124569 · doi:10.1149/10701.10061ecst

Himachal Pradesh's Gaddi Tribe: A Socio-Cultural Study

2022· article· en· W4225124569 on OpenAlexaboutno aff
Vishal Kumar Dhiman, Bosudha Bandyopadhyay, Jagdeep Singh, Akhilesh Kumar, Akshay Chaudhary

Bibliographic record

VenueECS Transactions · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsnot available
Fundersnot available
KeywordsTribeGeographyHerdingEthnologySocioeconomicsSociologyAnthropologyArchaeology

Abstract

fetched live from OpenAlex

The reason for making this record is to understand the society and the strict traditions of the Gaddi tribe in Himachal Pradesh. About 17 towns from two locally improved neighborhoods in the Chamba region of Himachal Pradesh were consulted. These towns are Bhalai, Bhattiyat, Bharmaur, Chamba, Chaurah, Dalhousie, Holi, Pangi, Saluni, Sihunta, Tikri, Chamrauli, Bassa, Kuarsi, Chaned, Chhtarari, and Bhanauta of Chamba block. The envisaged Gaddi tribe may be a semi-immigrant tribe located in Himachal Pradesh and the high Himalayas of Himachal Pradesh. These tribes mainly live in the regions around the Dhauladhar, Chamba, Bharmaur, and Dharamshala mountains. Their main occupation is herding sheep and goats and preparing khadhi costumes for them. They turned the wool into charkha, then used the wool to make blankets. Gaddis need an impermanent accommodation called Hadwari. They communicate a language named Gaddi. They do this throughout the season, but mostly in winter. The female individual turns the charkha, then the male individual uses his wooden instrument called Khhade to form a blanket. In order to promote the development of this tribe, they acquired a destined tribe in 1990-91. In the constantly changing cultural pattern of life, the Gaddi people cannot avoid a substantial change in their traditional way of life due to their contact with the outside world outside of society. It records different strict societies and traditions, and finally gives some ideas to avoid wasting the strict societies and traditions of these ancestors.

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)0.000
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 score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.039
GPT teacher head0.327
Teacher spread0.288 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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Same venueECS TransactionsSame topicSouth Asian Studies and ConflictsFrench-language works237,207