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Record W7005569508

Review of "Frontier Farewell: The 18705 and the End ofthe Old West," By Garrett Wilson

2009· article· en· W7005569508 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln (University of Nebraska) · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSubterranean biodiversity and taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsFrontierScholarshipPeriod (music)Anecdote
DOInot available

Abstract

fetched live from OpenAlex

You might just want to buy two copies-one for yourself, and one for a friend. This book by a Regina lawyer turned writer tells the story of the Canadian prairie West from the arrival of the first European explorers to 1881, although most of the book deals with the period beginning in 1869, and five of the twenty-two chapters deal with the events surrounding the time that Sitting Bull and several thousand other Sioux spent in Canada. The book was obviously written with a popular audience in mind, but it makes a significant contribution to scholarship on the history of the Canadian West. Despite its nostalgic title and sentimental passages, Frontier Farewell possesses many of the best attributes of popular history. Wilson is strongest when telling stories based on his exhaustive research, his impressive historical sense, and his evocative prose. But thanks to his meticulous approach, his stories present evidence and difficult-to-find details that many historians will not have seen before, making this a fine source book.

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 score0.164
Threshold uncertainty score0.325

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.003

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 head0.010
GPT teacher head0.155
Teacher spread0.144 · 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
Published2009
Admission routes1
Has abstractyes

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