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Record W2244322468

Warfare State, Welfare State, and the Selling of the Personal Income Tax, 1942-1945

2015· preprint· en· W2244322468 on OpenAlexaffabout
Shirley Tillotson

Bibliographic record

VenueRePEc: Research Papers in Economics · 2015
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policies and Political Economy
Canadian institutionsDalhousie University
Fundersnot available
KeywordsState (computer science)Welfare stateWelfareIncome taxState income taxEconomicsBusinessPersonal incomeLabour economicsMarket economyTax reformPolitical scienceLawEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

This article examines lower-income Canadians' protests around the personal income tax aspects of Canadian war finance during the Second World War. It describes criticisms of the 1942 amendments to the Income War Tax Act and the means by which lower-income Canadians registered their concerns, through absenteeism, labour organization, and participation in public debate, drawing on their resources as voters (through political parties) and as prospective contributors to war savings campaigns. The finance minister and others took these protests seriously as a threat to war finance and the stabilization program. Consequently, the Department of Finance and the Department of National Revenue, together with the Wartime Information Board, responded vigorously to the protests, through various public relations campaigns and through a series of amendments to the tax statute. These responses to tax protest contributed to the process, normally seen as driven by either macroeconomics or social security ideology, or both, that led to Canada's Family Allowance Act, a landmark in the evolution of the Canadian welfare state. By pointing to the influence of tax protest by smaller income tax payers on the decision to expand the welfare state, the story told here shows how the communitarian public opinion of the war years was also shaped in part by self-interested pocketbook politics.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.002
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 head0.037
GPT teacher head0.277
Teacher spread0.240 · 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.

Study designTheoretical or conceptual
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

Citations1
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueRePEc: Research Papers in EconomicsSame topicFiscal Policies and Political EconomyFrench-language works237,207