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Record W4385321946 · doi:10.1515/9780773575479-004

Preface to the Carleton Library Edition

2006· book-chapter· en· W4385321946 on OpenAlexaboutno aff
R.T. Naylor

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2006
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceHistoryArtComputer science

Abstract

fetched live from OpenAlex

Some books result from the steady progress of intellectual activity along well-trodden paths, with results that vary from the interesting and respectably useful to the mundane and eminently forgettable.Some, far fewer, are the result of intuitive leaps by researchers that go well beyond the norms of their particular field, with results that vary from the spectacular to the ludicrous.But this book had quite different origins.It emerged spiritually from a ceremonial fire lit to purge rather than to create, although the first proved to be a prerequisite to the second.Certainly when I started to study economics at the University of Toronto in the 1960s, I had no expectation of producing anything remotely like The History of Canadian Business.The training, by and large, was mind-numbingly orthodox, with only a few remnants from earlier, better days, which students were encouraged to treat with amused contempt.It was also easy.Acing economics courses required little more than memorizing a few quasi-mathematical formulae, then feeding them back verbatim to the instructor on exams.No original thought went rewarded.For me, the happy result was a gold medal and a scholarship to the London School of Economics to start graduate work during one of the years in the late 1960s when it was not closed by student protests.There the training was supposedly at a much higher levelwhich meant memorizing not just the original formulae but also the additional ones in the footnotes and appendices.At the Masters level I aced international trade theory by learning to manipulate geometric figures that were as effective for understanding world commerce as an examination of goat entrails would be for predicting stock market results.As a result I came to the attention of Canadian ex-pat Harry

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.698
Threshold uncertainty score0.430

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.007
Science and technology studies0.0030.001
Scholarly communication0.0090.004
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.6980.574

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 head0.016
GPT teacher head0.166
Teacher spread0.150 · 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.

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
Published2006
Admission routes1
Has abstractyes

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