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Record W4390765131 · doi:10.1163/24683302-bja10059

“A Distinctly Busy Man” – Lieutenant Colonel (Dr) Frederick Holles Brennan, First Officer Commanding of the 1st South African Irish Regiment, 1861–1927

2024· article· en· W4390765131 on OpenAlexaboutno aff
Hendrik Snyders

Bibliographic record

VenueInternational Journal of Military History and Historiography · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Strategy and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsOfficerIrishMedalChief executive officerMilitary serviceHistoryManagementService (business)Ancient historyLawPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

Abstract Lieutenant Colonel Frederick Holles Brennan, formerly the commanding officer of the 1st South African Irish Regiment, medical officer of the Transvaal Volunteers, surgeon to the Hawarden Castle hospital ship and recipient of the Volunteer Officer’s Decoration and Long Service Medal during active service, is a forgotten name in South African military history today. Canadian-born Brennan, a qualified medical doctor, emigrated to South Africa during the 1890s. After settling in Johannesburg, he established a successful medical practice and became an integral part of the Irish-Canadian diasporic community on the Witwatersrand. This was complemented by active involvement in a range of charitable causes, in addition to participating in both the Anglo-Boer War (on the side of the British) and the First World War. From 1894–1927, Brennan made a fundamental contribution to the development of the South African military and sports history, without compromising his Irish-Canadian identity.

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 score0.214
Threshold uncertainty score0.426

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.003

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 head0.013
GPT teacher head0.195
Teacher spread0.183 · 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
Published2024
Admission routes1
Has abstractyes

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