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Record W4385736773 · doi:10.59962/9780774818544

Wet Prairie

2011· book· en· W4385736773 on OpenAlexaboutno aff
Shannon Stunden Bower

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2011
Typebook
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceForestryGeography

Abstract

fetched live from OpenAlex

The Canadian prairies are often envisioned as dry, windswept fields; however, much of southern Manitoba is not arid plain but wet prairie, poorly drained land subject to frequent flooding. Wet Prairie brings to light the complexities of surface water management in Manitoba, from early artificial drainage efforts to late-twentieth-century attempts at watershed management. Irregular water-flow patterns challenged the checkerboard landscape of the 1872 federal Dominion Lands Act, and homesteaders found their agricultural ambitions at odds with local environmental realities. Thus, in keeping with liberal principles, the provincial government undertook substantial drainage efforts. Flooding and drainage became the subjects of intense and persistent debate among provincial officials, drainage experts, and Manitoba residents. New alliances and rivalries emerged amid shifting social, political, and environmental contexts, with enduring consequences for both the landscapes and people of the wet prairie. This account of an overlooked aspect of Prairie environmental history traces how the biophysical nature of southern Manitoba helped shape both Manitoba society and the provincial state.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.363
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.203
Teacher spread0.184 · 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 teacher head, not a consensus.

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

Citations8
Published2011
Admission routes1
Has abstractyes

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