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Canada

2018· book· en· W4248821075 on OpenAlexaboutno aff
Randall Mørck, Gloria Yuan Tian

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsRecessionInflation (cosmology)Economic historyState (computer science)Intervention (counseling)EconomicsBusinessHistoryEconomyPolitical scienceKeynesian economicsPsychology

Abstract

fetched live from OpenAlex

Family-controlled pyramidal business groups were important in Canada early in the twentieth century, amid rapid catch-up industrialization, but largely gave way to widely held freestanding firms by mid-century. In the 1970s and early 1980s—an era of high inflation, financial reversal, unprecedented state intervention, and explicit emulation of continental European institutions—pyramidal groups abruptly regained prominence. The largest of these were politically well-connected and highly leveraged. The two largest collapsed in the early 1990s in a recession characterized by very high real interest rates. The smaller groups that survived were more vertically integrated and less diversified at the time. Widely held freestanding firms and Anglo-Saxon concepts of the role of the state soon regained predominance.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.326
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.001
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.3260.094

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 head0.171
Teacher spread0.147 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2018
Admission routes1
Has abstractyes

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