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Record W6995839281

A Portrait of Raymond Brutinel as a Young Man (Part II): The Future Canadian Corps Machine Gun Commander as a Business Entrepreneur in the Canadian West, 1908â1914

2016· article· en· W6995839281 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsnot available
Fundersnot available
KeywordsPortraitOfficerService (business)Work (physics)Promotion (chess)Spanish Civil WarCeremony
DOInot available

Abstract

fetched live from OpenAlex

The following carries on from an article on Brutinel’s prewar life in Edmonton, Alberta that appeared in the previous issue of Canadian Military History. That account dealt with his arrival in Edmonton from France, the reasons for his immigration, and his adaptation to life in the newly-created Alberta capital. This included an initial involvement with the Edmonton French community, his editorship of the French language Le Courrier de l’Ouest, and his eventual breaking away from these pursuits into a career of business entrepreneurship. The following is specifically concerned with this latter phase of his career, in which, at the height of the ‘Laurier boom,’ he enjoyed great success. Included are his role as an agent for a syndicate of wealthy Montreal capitalists, his work as an explorer for coal deposits, and his promotion of numerous community development schemes, intended both to assist with community improvement and to earn money for his Montreal backers. These are recounted to clarify for the first time the kinds of activities that preoccupied Brutinel before the war and to help to illustrate his experiences and the capacities he developed and subsequently brought to his service as an officer with the Canadian Corps on the Western Front.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.049
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0300.006
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0140.003

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 head0.011
GPT teacher head0.192
Teacher spread0.181 · 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
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

Explore more

Same venueScholars Commons (Wilfrid Laurier University)→Same topicPlant Molecular Biology Research→French-language works237,207→