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Record W1499990661

A Military Engima: The Canadian Air Service Company, 1948-1949

2001· article· en· W1499990661 on OpenAlexaffabout
Bernd Horn

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAeronauticsService (business)BusinessMilitary serviceOperations researchOperations managementPolitical scienceEngineeringMarketingLaw
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Special Air Service (SAS) Company is truly a military enigma. Very few people are aware of its short-lived existence. Those who are normally have a misunderstanding of its origins and role, a misconception largely reinforced by the sparse and largely inaccurate material that has been written on the subject. For example, most believe that it was raised specifically to provide a commando capability within the Canadian Army immediately after the Second World War.\nThe story of the Canadian SAS Company is actually surreptitious. The army originally packaged the sub-unit as a very benevolent organization, centred on aid to the civil authority and assistance to the general public. Once established, however, a fundamental and contentious shift in its orientation became evident—one that was never fully resolved prior to the sub-unit’s demise. With time, myths, often enough repeated, took on the essence of fact.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.128
Threshold uncertainty score0.927

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0170.004
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.001

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 head0.031
GPT teacher head0.201
Teacher spread0.170 · 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
GenreEmpirical

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
Published2001
Admission routes2
Has abstractyes

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