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Record W3159063214

Bottling Tibet. The post-colonial commodification of the Third Pole.

2020· article· en· W3159063214 on OpenAlexaff
Jigme Tsering

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBottling lineCommodificationChinaPlateau (mathematics)DistrustGlacierPoliticsGlacial periodRetrenchmentColonialismGeographyHistoryEconomyPolitical sciencePhysical geographyArchaeologyEconomicsLawGeology
DOInot available

Abstract

fetched live from OpenAlex

The commodification of Tibet’s glacial water in China is following a pattern first observed in America. With a growing middle class and a rise in public distrust of potableness of tap water, companies aim to increase their profits by playing into the public's suspicions, and using images of imagined purity to advertise their premium bottled water. In China, this has resulted in an increased economic interest in the glaciers across the Tibetan plateau. As one of Asia’s largest watersheds, the bottling of Tibetan water is pernicious to the local environment as well as local populations, and could have detrimental effects on over a billion people who rely on rivers that spring from this region. This article takes a closer look at the implications of bottling glacial water in Tibet. It considers the geo-political history between Tibet and China, the history of “functionless” water in China, and the effects of increased industry on the delicate environment of the Tibetan plateau.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.008
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.045
GPT teacher head0.285
Teacher spread0.240 · 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
Published2020
Admission routes1
Has abstractyes

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