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Record W7060162728

9781552388358.pdf

2016· other· en· W7060162728 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2016
Typeother
Languageen
FieldEnvironmental Science
TopicSoil Moisture and Remote Sensing
Canadian institutionsnot available
Fundersnot available
KeywordsPatriotismFrontierHonourMemoirOptimal distinctiveness theorySpanish Civil WarFirst world warNational consciousness
DOInot available

Abstract

fetched live from OpenAlex

With the centenary of the First World War, communities across Canada arranged commemorations of the war experience to honour local servicemen who, through their triumphs and sacrifices, were presented as laying the foundation for a free and independent country. Often overlooked are the triumphs and sacrifices of those who supported those soldiers, and the war effort in general, back at home. The Frontier of Patriotism provides an in-depth look at all aspects of Alberta's involvement in the war, reflecting Albertans' experiences both on the battlefield and on the home front. Contributors of the 40 essays all draw heavily on national and local archival resources. The war is seen through the letters, diaries and memoirs of the individuals who lived through it, as well as through accounts in local newspapers. Readers will come away from this collection with a deeper appreciation of the different ways that the First World War, and its aftermath, shaped the lives of Albertans. For many, these four tumultuous years represented a time of individual valour and of communities pulling together and sacrificing for a noble cause. Yet, for others, the war left disillusionment and anger. Exploring these regional and local stories, as well as the national story, helps us understand the commonalities and distinctiveness of what it means to be Canadian. The Frontier of Patriotism is the most comprehensive treatment of Alberta during these critical, transformational years.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.970
Threshold uncertainty score0.877

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9440.994

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 head0.006
GPT teacher head0.230
Teacher spread0.224 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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