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Record W2939938145 · doi:10.34989/san-2017-17

Global Factors and Inflation in Canada

2021· article· en· W2939938145 on OpenAlexaffabout
Dany Brouillette, Laurence Savoie-Chabot

Bibliographic record

VenueStaff Analytical Notes · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsBank of Canada
Fundersnot available
KeywordsHumanitiesInflation (cosmology)Political scienceEconomicsPhysicsPhilosophy

Abstract

fetched live from OpenAlex

This note investigates whether the recent weakness in inflation in Canada can be related to global factors not included in the current staff analytical framework (domestic slack, movements in commodity prices and in the exchange rate). A global common factor for inflation among selected advanced economies appears to contain marginal information for Canadian inflation beyond what is found in movements in commodity prices and the exchange rate. However, our analysis of potential channels (import prices, global slack and the integration in global value chains) does not help to improve our understanding of the recent weakness in inflation. The analysis reinforces our current assessment that the weakness in inflation over recent quarters is mostly due to Canada-specific temporary factors (food and electricity prices). Still, there is a risk that part of the recent unexplained weakness in CPI inflation may not be due exclusively to Canada-specific factors, although the channels through which that global common factor operates remain undetermined. Further work is therefore needed to explore other channels (e.g., digitalization) through which the effect of this common factor might operate.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.053
GPT teacher head0.231
Teacher spread0.178 · 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 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

Citations3
Published2021
Admission routes2
Has abstractyes

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