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Record W175377610

Peasant-Traders of Ladakh: A Study in Oral History

2016· article· en· W175377610 on OpenAlexaboutno aff
Janet Rizvi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCuban History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsPeasantHistoryTRACE (psycholinguistics)ModernityQuarter (Canadian coin)Transition (genetics)Social lifeEthnologyPolitical scienceLawArchaeology
DOInot available

Abstract

fetched live from OpenAlex

In the last quarter of the twentieth century, there are few places in the world untouched by the effects of rapid change. The implications of this truism are probably as many as there are people considering it; for the historian they relate to the problems of recording a way of life that may be fast disappearing, or have disappeared altogether. The slower the rate of change may have been in the past, and the more abrupt the transition to the institutions and ways of thought of the twentieth century, the more corrosive is likely to be the impact of these on long-established social and economic patterns. Hundreds of viable societies have disintegrated at the touch of modernity and 'progress', leaving little or no trace of themselves behind. Only for a short time after their total disappearance does the memory of the old ways linger on, in the minds of individuals who have experienced in their lifetime virtually the complete transition from a 'traditional' to a 'modern' way of life. Where a large part of the old way has not been documented, the only means of investigating it may be to seize the brief moment and talk to these individuals, tapping their memories before they too fade into oblivion.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.077
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0140.006
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.088
GPT teacher head0.315
Teacher spread0.227 · 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
Published2016
Admission routes1
Has abstractyes

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Same topicCuban History and SocietyFrench-language works237,207