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Record W7149363002 · doi:10.17132/2693-3179.1563

Lessons Learned: Paul Boothe

2024· article· en· W7149363002 on OpenAlexaboutno aff
Mary Anne Chute Lynch

Bibliographic record

VenueJournal of Financial Crises · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringGovernment (linguistics)NegotiationOrder (exchange)Auto industryVice president

Abstract

fetched live from OpenAlex

Paul Boothe served as Canada’s senior associate deputy minister of industry during the Global Financial Crisis (GFC) of 2007–2009. Boothe led the Canadian federal government’s negotiation team during the restructuring talks with Chrysler and General Motors (GM). He also negotiated with the Canadian Auto Workers (CAW), a union that included Tier 1 auto parts suppliers for all the major auto manufacturers worldwide. Canada aligned with the United States government to rescue the auto manufacturers and provided 20% of the funding to rescue the corporations and suppliers. From 2004 to 2005, Boothe served as the associate deputy minister of finance and Group of Seven (G-7) deputy for Canada; after the GFC, he was deputy minister of the environment from 2010 to 2012. In 2016, Boothe was awarded the Order of Canada, the nation’s highest civilian honor, for his contributions to shaping Canadian economic and fiscal policy. He currently teaches in the executive program at the Ivey Business School at Western University in Ontario. This Lessons Learned summary is based on an interview held with Boothe on May 9, 2022.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.099
GPT teacher head0.378
Teacher spread0.279 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2024
Admission routes1
Has abstractyes

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