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Record W3030755038 · doi:10.5539/jpl.v13n2p226

Inter Vivos Gift as Land Inheritance Mechanism for FELDA Land Holding

2020· article· en· W3030755038 on OpenAlexvenueno aff
Nasrul Hisyam Nor Muhamad, Mohd Khairy Kamarudin, Mohd Zamro Muda, Noor Liza Mohamed Said, Nik Mohd Zaim Ab Rahim, Monika Abd Razzak

Bibliographic record

VenueJournal of Politics and Law · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsnot available
FundersUniversiti Teknologi Malaysia
KeywordsSettlement (finance)Inheritance (genetic algorithm)Land tenureAuthorizationBusinessLand managementSection (typography)GeographyFinanceArchaeologyAdvertisingAgricultureBiology

Abstract

fetched live from OpenAlex

This study aims to identify the key points of the FELDA land inheritance issues and their possible solutions. Land (Group Settlement Areas) Act 1960 was analyzed as it is the main act that regulates FELDA land management. This study discovered that Section 14 limits the land holding to not more than two holders while Section 15 prohibits subdividing or partitioning over FELDA land holding. An administrator is appointed to manage the land on behalf of other heirs and this practice poses risk as the administrator may fail to execute the trust. Hence, inter vivos gift is proposed to address this problem. It was also found that status of FELDA land holding is considered as ‘Conditional Holding’ since it limits the number of registered holders and authorisation to inherit the FELDA land to the second FELDA settlers generation This study concluded that inter vivos gift is legal and this is evidenced from the Section 215, National Land Code 1965 which demonstrates that FELDA land holding can be transferred to the second generation via ‘Form 14A’ at the land offices with the consent from the State Authority and FELDA management as specified in the Land (Group Settlement Areas) Act 1960.

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)0.000
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 score0.816
Threshold uncertainty score0.096

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.024
GPT teacher head0.234
Teacher spread0.210 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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