MétaCan
Menu
Back to cohort
Record W4378386814 · doi:10.1515/9780773597709-001

Introduction to the Carleton Library Series Edition

2015· book-chapter· en· W4378386814 on OpenAlexaboutno aff
David A. Wolfe

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2015
Typebook-chapter
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsSeries (stratigraphy)Library scienceHistoryComputer scienceArtGeologyPaleontology

Abstract

fetched live from OpenAlex

1985 for the Royal Commission on the Economic Union and Development Prospects for Canada (the Macdonald Commission), Richard Harris's background study on trade and industrial policy appeared at a critical juncture in the country's postwar development.The Canadian economy had enjoyed a sustained period of economic growth from the late 1940s to the early 1970s, but experienced two major recessions in the following decade.Both employment and inflation remained at stubbornly high levels during this period, with little agreement on appropriate policy responses to these problems (Campbell 1991).Equally challenging was the dramatic change to the competitive position of a broad cross section of the manufacturing economy, arising from the emergence of competitors among newly industrializing nations and increased protectionism in the US economy.The first stirrings of a far-reaching technological revolution were at the core of these changes, driven by the introduction of microelectronics technologies embedded in semiconductors and microprocessors that would gradually disrupt virtually every sector of the economy over the coming decades.While the economic benefits delivered by the signing of the Auto Pact with the US in 1965 were still continuing to flow to the central Canadian economy, other traditional industrial sectors, including textiles, shipbuilding, and food processing were undergoing major structural changes and the government was struggling to help these sectors adapt to the more competitive global environment that they

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.673
Threshold uncertainty score0.960

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.007
Science and technology studies0.0040.002
Scholarly communication0.0080.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3270.170

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 head0.023
GPT teacher head0.183
Teacher spread0.160 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooksSame topicScottish History and National IdentityFrench-language works237,207