MétaCan
Menu
Back to cohort
Record W4391968741 · doi:10.51644/9781554588824

Soldiers of Song

2012· book· en· W4391968741 on OpenAlexaboutno aff
Jason Wilson

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

The seeds of irreverent humour that inspired the likes of Wayne and Shuster and Monty Python were sown in the trenches of the First World War, and The Dumbells—concert parties made up of fighting soldiers—were central to this process. Soldiers of Song tells their story. Lucky soldiers who could sing a song, perform a skit, or pass as a “lady,” were taken from the line and put onstage for the benefit of their soldier-audiences. The intent was to bolster morale and thereby help soldiers survive the war. The Dumbells’ popularity was not limited to troop shows along the trenches. The group also managed a run in London’s West End and became the first ever Canadian production to score a hit on Broadway. Touring Canada for some twelve years after the war, the Dumbells became a household name and made more than twenty-five audio recordings. If nationhood was won on the crest of Vimy Ridge, it was the Dumbells who provided the country with its earliest soundtrack. Pioneers of sketch comedy, the Dumbells are as important to the history of Canadian theatre as they are to the cultural history of early-twentieth-century Canada.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.148
Threshold uncertainty score0.998

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.285
Teacher spread0.265 · 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 teacher head, not a consensus.

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

Citations9
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicWorld Wars: History, Literature, and ImpactFrench-language works237,207