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On the Rural Land Consolidation Procedure Legislation's Perfection in China

2012· article· en· W1929260084 on OpenAlexvenueno aff
Zhao Qian

Bibliographic record

VenueCanadian social science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationLegislatureConsolidation (business)Political scienceChinaLegislative processPublic administrationHumanitiesLawBusinessPhilosophy

Abstract

fetched live from OpenAlex

The rural land consolidation procedure legislation’s scientific degree is lower in China; it can’t guide the rural land consolidation process systematically and normatively. The integral research on legislative practice includes two aspects, i.e., legislative system and legislative content. To do the theoretical research based on legislative text is the most relevant research methods. To perfect the rural land consolidation procedure legislation in China by the formulation or modification of relevant legislation is very necessary and possible. Key words: Rural land consolidation; Procedure; Legislative system; Legislative content Resume Le diplome scientifique de la legislation fonciere rurale de la procedure de consolidation est le plus bas en Chine, il ne peut pas guider le processus de consolidation des terres rurales systematiquement et normativement. La recherche integree sur la pratique legislative comporte deux aspects, a savoir, le systeme legislatif et le contenu legislatif. Pour faire de la recherche theorique basee sur le texte legislatif est des methodes de recherche les plus pertinents. Pour parfaire la legislation fonciere rurale de consolidation procedure en Chine par la formulation ou la modification de la legislation pertinente est tres necessaire et possible. Mots cles: Le remembrement rural; Procedure; Systeme legislatif; Contenu legislatif

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.999

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 studies0.0020.001
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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 designObservational
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

Citations2
Published2012
Admission routes1
Has abstractyes

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