MétaCan
Menu
Back to cohort
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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.470
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Same venueLincoln (University of Nebraska)Same topicBayesian Methods and Mixture ModelsFrench-language works237,207