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Record W2969992984 · doi:10.5539/jpl.v12n3p113

The Principle of Good Faith in the Palestinian Civil Code Draft and Its Role in Maintaining Economic Contractual Equilibrium at the Pre-Contracting Phase

2019· article· en· W2969992984 on OpenAlexvenueno aff
Osama Ismail Mohammad Amayreh, Izura Masdina Mohamed Zakri, Pardis Moslemzadeh Tehrani, Yousef Mohammad Shandi

Bibliographic record

VenueJournal of Politics and Law · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Contract Law
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatureNegotiationLawCivil codeFaithPolitical scienceBad faithLaw and economicsCivil procedureGood faithLiabilitySociologyPhilosophy

Abstract

fetched live from OpenAlex

The jurisprudential and judicial legal trend tends to apply the principle of good faith at the pre-contracting phase as one of the most substantial principles governing this phase, since it is inconceivable that the parties are to negotiate in bad faith, and then must implement the contract in good faith, in accordance with the traditional legal rule that “fraud spoils everything it touches”. However, the Palestinian legislature has ignored enacting legal provisions obliging the parties to abide by the principle of good faith in the pre-contracting phase causing a legislative deficiency in the legislative remedies of the subject of good faith in the pre-contracting phase. This paper seeks to prove that replacing a provision that requires good faith in negotiations with the provisions of tort liability causes many legal problems. To prove this, the legal provisions should be analysed which would also include determining the definition of the principle of good faith, and the function of that principle in achieving contractual equilibrium and the legal basis for this principle at the stage of negotiation which should also be analysed. Moreover, a comparative analytical approach with the French civil code is used to illustrate the Palestinian legislative deficiencies and the need to legislate a legal article which obligates the negotiating parties to behave in good faith, as this has become an unavoidable reality that should be dealt with to contribute to the stability of civil and commercial transactions. As such, the legal article should also specify the compensation to be claimed.

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)0.002
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 score0.970
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.017
GPT teacher head0.318
Teacher spread0.301 · 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
Published2019
Admission routes1
Has abstractyes

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