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Record W4385865637 · doi:10.59962/9780774828390-002

Foreword

2015· book-chapter· en· W4385865637 on OpenAlexaboutno aff
Graeme Wynn

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2015
Typebook-chapter
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

G rasslands are not easy to know. Massively transformed in the short span of ten to fi fteen decades, North American grasslands challenge ecologists, who have had little time to understand their "original ecology and function." 1 Contemplated from afar, "they are almost featureless, a horizontal, double-stitched seam between earth and sky. Moving up close is equally challenging. By the time the infi nitely narrow, windblown stems and leaves come into focus, all larger perspective is lost." 2 So mused Don Gayton -a student of western Canadian landscapes whose collection of lyrical essays exploring the transformation of the prairies, titled Th e Wheatgrass Mechanism, won him a reputation as a writer with "the eye of a scientist and the soul of a poet" -as he contemplated Spirit in the Grass, a coff ee-table book on the Cariboo-Chilcotin region of British Columbia. 3 Th e photographer's challenges are real. Every "shot" encapsulates a series of decisions: which lens to use; where to direct it; when, in what light, to press the trigger. Every image is composed and framed, as a close-up, a long shot, a view of the middle distance. But are grasslands more diffi cult to encapsulate than other landscapes? Rugged snow-capped mountain peaks, the impressively broad and soaring trunks of old-growth rainforest, rugged shorelines -the classic images associated with western Canada's parks and protected areas, and beloved of tourists and camera buff s -are not typical of these areas. 4 But does the photographer out on the range really face a stark choice between uninteresting depictions of a horizontal world and myopic close-ups of ground-hugging vegetation? Although Gayton suggests as much, he praises photographer Chris Harris xii Foreword for images that focus on the "broader landscape," a sort of middle ground that is certainly not without its charms. Harris "feasts," observes Gayton in one telling phrase, "on the contrasts of the velvet-textured grasslands as they press against the jagged bareness of the cliff s"; in another similarly evocative sentence, Gayton marks the scale and grandeur of an image by noting the presence of two hikers, tiny fi gures "in the tawny, contoured grassland expanse of Churn Flats ... like two insignifi cant ticks on the broad, muscular back of some huge animal at rest." 5 Yet, Harris's pages include close-up studies of birds and butterfl ies, and stems of bunchgrass backlit by the burning orb of the sun dominate his book's arresting cover. Eff ective photographic essays -and the most reverberant coff ee-table books -usually encompass a range of scales. Th ey are grounded in detail: they depend upon their materiality, upon their capacity to make things recognizable, imaginable, real. But they cannot stay there alone. To be eff ective they must move beyond the myopic close-up and attend to wider horizons, both actual and fi gurative. Sweeping vistas and wide perspectives are essential complements to tightly focused imagery. Th ey allow viewers to "place" or fi nd larger meaning in the specifi cs.

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 categoriesMeta-epidemiology (narrow), 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 score0.217
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.026
GPT teacher head0.160
Teacher spread0.134 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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