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Record W3199294388

Response to the Province of Manitoba “Engaging Manitobans on Water Management

2021· article· en· W3199294388 on OpenAlexaboutno aff
David S. Barber, Tim Papakyriakou, Stephan Pflugmacher, Greg McCullough, Claire W. Herbert

Bibliographic record

VenueMspace (University of Manitoba) · 2021
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessEnvironmental planningGeographyEnvironmental resource managementPolitical scienceEnvironmental science
DOInot available

Abstract

fetched live from OpenAlex

As the Province of Manitoba engages with Manitobans on a Water Management Strategy, we must keep in mind that our freshwater is not an endless resource. We have to live with our finite water resources and understand that we are all responsible to keep water healthy and accessible to everyone. Access to clean water is a basic human right, mandated by many countries, including the United Nations. Freshwater should not be thought of as a separate (or self-contained) issue from the rest of the hydrosphere and cryospheric systems of our planet. The impact of hemispheric and especially Arctic climate on freshwater in the mid and lower latitudes in Canada is integral to understanding how to manage freshwater resources. While we understand this is a Manitoba strategy as acknowledged in the Guiding Principles in the Water Management Strategy document, water is a transboundary issue, both provincially and nationally.

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)0.004
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.103
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0230.004
Scholarly communication0.0030.001
Open science0.0030.005
Research integrity0.0120.013
Insufficient payload (model declined to judge)0.0120.001

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 head0.027
GPT teacher head0.266
Teacher spread0.238 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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