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Record W1539543826

The Economic Crises Through the Lens of Economic Well-being

2009· preprint· en· W1539543826 on OpenAlexaboutno aff
Andrew Sharpe, Jean-François Arsenault

Bibliographic record

VenueRePEc: Research Papers in Economics · 2009
Typepreprint
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsRecessionUnemploymentEconomicsPovertyPer capitaDemographic economicsJob lossPoverty rateUnemployment rateLabour economicsDevelopment economicsDemographyEconomic growthMacroeconomicsPopulation
DOInot available

Abstract

fetched live from OpenAlex

This report looks at how the economic crisis has unfolded in Canada and what will be the impacts on economic wellbeing. The shortfall is estimated to be approximately $12, 000 ($2007) per capita. In other words, given no economic crisis, GDP per capita in Canada would have likely been $1, 736 higher on average each year over the 2008-2014 period. Between October 2008 – the month at which employment peaked in Canada – and May 2009, net employment fell by 362, 500 persons. The negative effects of unemployment go well beyond loss of income. Roughly 60 per cent of the newly unemployed, compared to about 40 per cent in recent years, receive regular EI benefits, reflecting the concentration of employment losses among long term full-time employees (e.g. auto workers). Based on the experience of the recession of the early 1990s, we should expect an increase of about 4 percentage points in the after-tax poverty rate, which would reach 13.2 per cent in 2010.

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)0.002
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 score0.614
Threshold uncertainty score0.768

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0070.023
Scholarly communication0.0120.006
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.042
GPT teacher head0.359
Teacher spread0.317 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueRePEc: Research Papers in EconomicsSame topicCanadian Policy and GovernanceFrench-language works237,207