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Record W2748592101 · doi:10.25212/lfu.qzj.2.3.09

The problem of legal regulation of the management of national wealth in the federal state Comparative analytical study between the Iraqi and Canadian political systems

2017· article· en· W2748592101 on OpenAlexaboutno aff
سردار قادر محي الدين, هؤشيار جلال

Bibliographic record

VenueQalaai Zanist Scientific Journal · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutionLegislationFederalismState (computer science)PoliticsCorporate governancePublic administrationUnificationPolitical scienceNational wealthFederal lawCentral governmentLawLaw and economicsLocal governmentBusinessEconomicsAccountingFinance

Abstract

fetched live from OpenAlex

The legal organization of the national wealth in the world varies according to the political system, its function and its composition into a simple and complex state. A simple state with one authority and unity (one constitution, one government), and then individuals are subject to one authority and laws. Therefore, the legal organization of national wealth is central. The center controls all other activities and activities of the state. The existence of two levels of governance (the center / regions) and the accompanying administrative and financial division within one state, under a written constitution that regulates the relationshipbetween federal and regional governments.Thus, federal regimes differ in the regulation of wealth legislation. Some of them regulate their legislation by giving wide powers to the wealth in their territory. On the contrary, most federal states formed by the unification of a number of independent territories have retained the territory by owning wealth, From the guarantee of that state, the federal states in the world in relation to the regulation of wealth related to the two-way, the first trend: see that the ownership of wealth belongs to the land and then be owned by the owner of the territory (territory), the second trend: Considered as state-owned (center).

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)0.005
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 score0.902
Threshold uncertainty score0.715

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0080.010
Scholarly communication0.0080.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.039
GPT teacher head0.286
Teacher spread0.247 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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