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Record W4320726405 · doi:10.1108/oxan-db275971

Canada's leading banks look further afield for growth

2023· article· en· W4320726405 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsCashBusinessHorizonFinancial systemPoint (geometry)Finance

Abstract

fetched live from OpenAlex

Significance Canadian banks have weathered the pandemic with less disruption to growth and earnings than originally forecast. Recent acquisitions point to where future strategic growth may be focused, with the largest banks looking to increase their presence in the wider North American market and beyond. Impacts One-third of Canadian bank assets were held outside the country last year and this could rise above 40% by late next year. RBC expects to complete its acquisition of 100% of HSBC Canada before the end of 2023, for USD10bn in cash. Once approved, TD’s all-cash acquisition of First Horizon for USD13.4bn will make it the sixth-largest US bank. BMO’s acquisition of Bank of the West from BNP Paribas, completed on February 1, will bring it 1.8 million new customers.

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)0.011
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 score0.092
Threshold uncertainty score0.666

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0200.004
Scholarly communication0.0130.003
Open science0.0010.002
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0420.006

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 head0.024
GPT teacher head0.290
Teacher spread0.266 · 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
Published2023
Admission routes1
Has abstractyes

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