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Record W2922203681 · doi:10.5430/elr.v8n1p37

Cross-linguistic Variation of Binding Possibilities and Parameterized DP Hypothesis Revisited

2019· article· en· W2922203681 on OpenAlexvenueno aff
Zhiyi Zhang

Bibliographic record

VenueEnglish Linguistics Research · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
Fundersnot available
KeywordsPossessivePronounLinguisticsParameterized complexityMorphemeVariation (astronomy)MathematicsComputer scienceCombinatoricsPhilosophyPhysics

Abstract

fetched live from OpenAlex

The former study approached the cross-linguistic variation of binding possibilities from the perspective of parameterized DP hypothesis. However, the parameterized DP hypothesis failed to explain some syntactic truth as regards the binding relation between possessive NP and pronoun. It has been examined in the present study that different languages have different means to form possessive structure and different mechanisms work in obligatory and optional binding. The c-commanding relation is the semantic basis for the optional binding between the possessive NP and the pronoun. For languages with possessive NP entering derivation after T, possessive NP fails to c-command pronoun and there will be no optional binding. For languages with possessive NP or morpheme entering derivation before T, possessive NP or morpheme succeeds to c-command pronoun and there is optional binding.

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)0.003
metaresearch head score (Gemma)0.226
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.223
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.226
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.332
Teacher spread0.253 · 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 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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