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Record W4211177439 · doi:10.1075/thr.3

Made-in-Canada Humour

2015· book· en· W4211177439 on OpenAlexaffabout
Beverly Rasporich

Bibliographic record

VenueTopics in humor research · 2015
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHistoryArt

Abstract

fetched live from OpenAlex

Made-in-Canada-Humour is an interdisciplinary survey and analysis of Canadian humour and humorists in the nineteenth and twentieth centuries. The book focuses on a variety of genres. It includes celebrated Canadian writers and poets with ironic and satiric perspectives; oral storytellers of tall tales in the country and the city; newspaper print humorists; representative national and regional cartoonists; and comedians of stage, radio and television. The humour gives voice to Canadian values and experiences, and consequently, techniques and styles of humour particular to the country. While a persistent comic theme has been joking at the expense of the United States, both countries have influenced one another’s humour. Canada’s unique humorous tradition also reflects its emergence from a colonial country to a postcolonial and postmodern nation with contemporary humour that addresses gender and racial issues.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.085
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.150
GPT teacher head0.386
Teacher spread0.236 · 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

Citations1
Published2015
Admission routes2
Has abstractyes

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