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Record W7043192342

Review of <i>Saskatchewan: The Luminous Landscape</i> ByCourtney Milne

2008· article· en· W7043192342 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln (University of Nebraska) · 2008
Typearticle
Languageen
FieldComputer Science
TopicBayesian Methods and Mixture Models
Canadian institutionsnot available
Fundersnot available
KeywordsBeautyPassionPhotographyCharacter (mathematics)PoetryCLARITYStudioPainting
DOInot available

Abstract

fetched live from OpenAlex

Saskatchewan: The Luminous Landscape is a compelling photographic anthology of the diverse and complex topography of the Canadian prairie province of Saskatchewan. Published to commemorate Saskatchewan's centenary in 2006, this handsome coffee-table book comprises 225 sumptuous full-color photographs by the internationally acclaimed master photographer Courtney Milne. Six chapters of stunningly beautiful imagery, combined with personal commentary, chronicle Milne's intimate relationship to his home place, which extends back to his childhood growing up on the bank of the South Saskatchewan River. For Milne, landscape photography has served as a sustaining inspiration in a remarkable photographic and writing career that has taken him to seven continents over the past quarter-century. Surprisingly, although five of his books have focused on prairie landscapes, this twelfth publication is the first dedicated solely to Saskatchewan. From Waskesiu Lake to Old Man on His Back Prairie, and Heritage Conservation Area to the Athabasca Sand Dunes, to his own rural acreage outside the town of Grandora, Milne captures the unlimited shifting patterns of light, color, and reflection with both clarity and passion to portray the irrepressible beauty of the province. Milne is an artist who follows his own instincts and intuitions. For him, the medium of landscape photography serves as a spiritual quest, a channel through which he feels he can better know, and appreciate, our sacred link to the land. He uses the camera's viewfinder not to place a boundary between himself and nature, but as a tool to enable dialogue, an exchange between him and the landscape that allows the particular character of the landscape to speak for itself.

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)0.005
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: Review · Consensus signal: Review
Teacher disagreement score0.438
Threshold uncertainty score0.881

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.014
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0310.014

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 head0.208
Teacher spread0.193 · 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
GenreReview

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
Published2008
Admission routes1
Has abstractyes

Explore more

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