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Record W2116728377 · doi:10.34989/sdp-2012-6

The Bank of Canada’s 2009 Methods-of-Payment Survey: Methodology and Key Results

2021· preprint· en· W2116728377 on OpenAlexaffabout
Carlos Arango, Angelika Welte

Bibliographic record

VenueEconstor (Econstor) · 2021
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicDigital Platforms and Economics
Canadian institutionsBank of Canada
Fundersnot available
KeywordsPaymentSurvey methodologyBusinessKey (lock)Payment service providerPopulationActuarial scienceFinanceComputer scienceStatisticsMedicineComputer securityEnvironmental health

Abstract

fetched live from OpenAlex

The authors present the methodology and main findings of the Bank of Canada’s 2009 Methods-of-Payment survey, a detailed investigation of consumer payment behaviour in Canada. The survey targeted the 18- to 75-year-old Canadian resident population. During November 2009, participants answered a questionnaire about their demographics, personal finance, and payment instrument habits and perceptions. Of the 6,868 questionnaire respondents, about half also completed a 3-day shopping diary, recording close to 16,000 shopping transactions. The survey gives a detailed account of Canadians’ cash management habits and payment instrument choices and provides important clues into the reasons why Canadians pay the way they do.

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)0.022
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.492

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.014
Science and technology studies0.0060.001
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.005

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 head0.059
GPT teacher head0.273
Teacher spread0.215 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations26
Published2021
Admission routes2
Has abstractyes

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