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Record W7062819130

Water Rites: Reimagining Water in the West

2018· book· en· W7062819130 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousWork (physics)Resource (disambiguation)The ImaginaryWater supplyWater resourcesFace (sociological concept)Fresh waterWater use
DOInot available

Abstract

fetched live from OpenAlex

What are the challenges surrounding water in Western Canada?What are our rights to water? Does water itself have rights?Water Rites: Reimagining Water in the West documents the many ways that water flows through our lives, connecting the humans, animals, and plants that all depend on this precious and endangered resource.Essays from scholars, activists, environmentalists, and human rights advocates illuminate the diverse issues surrounding water in Alberta, including the right to access clean drinking water, the competing demands of the resource development industry and Indigenous communities, and the dwindling supply of fresh water in the face of human-caused climate change. Statements from community organizations detail the challenges facing watersheds, and the actions being taken to mitigate these problems. With a special focus on Environmental and Indigenous issues, Water Rites explores how deeply water is tied to human life.These essays are complemented by full-colour portfolios of work by contemporary painters, photographers, and installation artists who explore our relation to water. Reproductions of historical paintings, engravings and film stills demonstrate how water has shaped our country’s cultural imaginary from its beginnings, proving that water is a vital resource for our lives and our imaginations.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.957
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.012
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2018
Admission routes1
Has abstractyes

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