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Record W2040341708 · doi:10.1068/c0322

Small Business Growth and Tax Policy in Canada—A Theoretical Model

2003· article· en· W2040341708 on OpenAlexaffabout
Khaled Soufani

Bibliographic record

VenueEnvironment and Planning C Government and Policy · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsConcordia University
Fundersnot available
KeywordsMarket liquidityBusinessSmall businessIncentiveFinanceEconomicsPublic economicsMicroeconomics

Abstract

fetched live from OpenAlex

The author develops a theoretical model for considering the impact and the compliance costs of taxation on the liquidity and the financial situation of small firms in Canada. The model addresses the tax burden that faces small firms at their different stages of growth and development, but the emphasis is on the start-up phase where small firms need more cash or liquidity relative to businesses at more developed stages of the business life cycle. It is recognized that one of the ways of bolstering the availability of cash and short-term liquidity for small firms is to offer them tax incentives and to design a system that reduces their compliance costs. The author looks at the importance of the small business sector and the stages of development and growth of firms; presenting the small business tax policy, and then providing some policy and managerial recommendations. The author's intention is not to measure direct tax and compliance costs, but simply to reflect on some key policy parameters.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.432

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.003
Scholarly communication0.0050.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.012
GPT teacher head0.184
Teacher spread0.172 · 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 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

Citations4
Published2003
Admission routes2
Has abstractyes

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