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Record W4385534944 · doi:10.1515/9780773598003-004

Nomenclature

2015· book-chapter· en· W4385534944 on OpenAlexaboutno aff
William F. Stewart

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2015
Typebook-chapter
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsNomenclatureZoologyBiologyTaxonomy (biology)

Abstract

fetched live from OpenAlex

The book uses a twelve-hour clock for presenting time, following contemporary practice.The British Army did not shift to a twenty-fourhour clock until late in the war.Metric units, with yards equal to metres, are used for distances.This avoids the inelegant appearance of a 914-metre for a 1,000-yard advance without unduly distorting the narrative.To reduce repetition, references to France, England, and Canada allude to Canadian forces in those locations, unless explicitly indicated otherwise.Canadian units are described without a national modifier, hence the 2nd Division for the Canadian 2nd Division.British, Australian, and French units include a national designation, such as the British 3rd Division.Following contemporary practice, battalions, brigades, and divisions are presented as Arabic numerals, corps as Roman numerals, and armies spelled out -so the 14th Battalion, 3rd Brigade, 1st Division, V Corps, and Reserve Army.Italics designate enemy unit: for example, the 45th Reserve Division.Infantry battalions consisted of four companies plus ancillary units for a total paper strength of 1,000 men, although the fighting strength of a battalion in the field was closer to 700 to 800 men.Four battalions made up a brigade, with a machine gun company and a trench mortar battery added by 1916.Three infantry brigades made up a division that also included, depending on the period, two to four field artillery brigades, a pioneer battalion, three engineer field companies, and a variety of support units.The engineer companies expanded to battalion-size in 1918.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.221
Threshold uncertainty score0.740

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0040.003
Scholarly communication0.0100.007
Open science0.0040.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.2210.209

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 head0.040
GPT teacher head0.236
Teacher spread0.196 · 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
Published2015
Admission routes1
Has abstractyes

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Same venueMcGill-Queen's University Press eBooksSame topicMedical and Biological SciencesFrench-language works237,207