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Record W2070355853 · doi:10.1177/002795011021100106

North American Responses to the Global Downturn

2010· article· en· W2070355853 on OpenAlexaboutno aff

Bibliographic record

VenueNational Institute Economic Review · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional resilience and development
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsProductivityRecessionPsychological resiliencePopulationMonetary economicsInternational economicsMacroeconomics

Abstract

fetched live from OpenAlex

The North American economies are expected to recover pre-crisis levels of output earlier than most of their European counterparts. The resilience of these economies is partly a reflection of factors underlying the trend rate of capacity growth. Population projections in North America are favourable for medium-term growth prospects, partly due to policies that tend to encourage highly skilled inward migration. At the same time, the US is one of few countries that maintained strong productivity growth during the downturn (at a significant cost in terms of employment), allowing an increase in US productivity levels relative to the other major economies. In addition, the relatively rapid recovery expected in the North American economies reflects more aggressive fiscal policies in the US and Canada than in most European economies, as well as credit easing undertaken by the Federal Reserve, which has kept corporate borrowing costs low relative to levels in the UK and Euro Area. Canada and Mexico have also benefitted from the recovery in the oil price, which eases budgetary pressures in particular.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.052
GPT teacher head0.308
Teacher spread0.257 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

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