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Record W4390907007 · doi:10.47832/2717-8293.26.20

THE DRAFT NATIONAL POLICY AND ITS IMPACT ON STRENGTHENING CUSTOMS PROTECTION IN THE DOMINION OF CANADA 1873-1878

2023· article· en· W4390907007 on OpenAlexaboutno aff
Fatima Sh. SABUON

Bibliographic record

VenueRIMAK International Journal of Humanities and Social Sciences · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsnot available
Fundersnot available
KeywordsDominionPolitical scienceNational PolicyNational securityPublic administrationEconomyEconomicsLaw

Abstract

fetched live from OpenAlex

In 1873, a wave of economic depression swept across the entire North American continent, and it was one of those crises whose impact extended to several countries, as it did not originate in Canada and was not limited to its borders. The Dominion of Canada was less able to withstand industrial pressures than its neighbor, the United States of America, which The severity of the economic crisis increased significantly, and the policy of protection in that country did not give hope to the Canadian factory, so the crisis began to paralyze farmers, wood exporters, and others. That prompted John A. Macdonald (John A. Macdonald) to adopt a policy he called (the magic wand policy), to move the country and attract people to it again, so he put forward the idea (national policy), through which the subject of our research came (the national policy project and its impact on strengthening customs protection in Dominion of Canada 1873-1878), project knowledge and its impact on strengthening the economic situation in Canada. The research included an introduction, two axes and a conclusion. The first axis dealt with the Canadian Conservative Party's adoption of the draft national policy in 1873, while the second axis shed light on the 1876 elections and the implementation of the national policy and its impact on strengthening protection as a complex.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.063
GPT teacher head0.296
Teacher spread0.233 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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