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Record W4378438361 · doi:10.1515/9780773569263-001

Preface

2001· book-chapter· en· W4378438361 on OpenAlexaboutno aff

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2001
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Bourinot's Rules of Order, a title not used for his book, A Canadian Manual on the Procedure at Meetings, until sixteen years after his death in 1902.Members and staff of Canadian legislatures and others interested in procedure in the Parliament of Canada may know that Bourinot also wrote a larger book called Parliamentary Procedure and Practice, but many confuse these two Bourinot books, not realizing the difference between them.In fact, Bourinot's writing on parliamentary procedure, both in its original sense and as adapted to the needs of ordinary societies, was only one aspect of his many-faceted life.He began his career as a journalist and parliamentary reporter.He soon gained recognition as an historian and litterateur.In 1880, after holding various offices on the parliamentary staff in Ottawa, he was appointed clerk of the House of Commons, a position he held until his death.In 1882., he became a founding member of the Royal Society of Canada and continued to be one of its most active members during the last twenty years of his life.He was consulted by governors general, prime ministers, lieutenant governors, and provincial premiers on constitutional matters, and by speakers and clerks of the legislatures of the Canadian provinces on questions relating to parliamentary procedure.He has been called Canada's first political scientist.A full-length biography of Sir John George Bourinot is long overdue.Bourinot's expertise was greatest in the fields of parliamentary procedure and constitutional law and history.Initially, I became aware of

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.261
Teacher spread0.223 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

Explore more

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