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Record W7100619558

Prairie Perspectives (Vol. 12) 43 A political ecology of source water protection

2014· article· en· W7100619558 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical ecologyPoliticsPerspective (graphical)Resource (disambiguation)NarrativeWater sourceWater resources
DOInot available

Abstract

fetched live from OpenAlex

Abstract: Across Canada, and elsewhere, the concept of source water protection (SWP) has gained prominence in the drinking water resources literature. The logic behind SWP is that it is easier, cheaper, and safer to protect a drinking water source from contamination than it is to repair the water source after contamination. However, the literature also suggests that various capacity- related factors operate to constrain SWP implementation on the ground. This article reports the results of applying Robbins ’ (2004) dominant narratives of political ecology to help explain conditions operating to constrain SWP at the local water purveyor level. The results are based on case study research from the Okanagan Valley, British Columbia. Data was derived from semi-structured key informant interviews and document review. Results reveal that the dominant narratives of political ecology provide a useful means of explaining factors constraining SWP. This article answers the call for a ‘First World ’ political ecology while contributing a politically-inspired perspective to water resource management in Canada.

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)0.002
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 score0.874
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.016
Scholarly communication0.0100.002
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0280.002

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 head0.262
Teacher spread0.247 · 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
Published2014
Admission routes1
Has abstractyes

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