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Record W4250588453 · doi:10.1017/s000841310000445x

Movement Chains at the Interfaces

2008· article· en· W4250588453 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsConcordia UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsMovement (music)CovertPhraseHead (geology)LinguisticsFeature (linguistics)Computer sciencePhrase structure rulesNatural language processingSubject (documents)Chain (unit)Inclusion (mineral)Bar (unit)Cognitive psychologyPsychologyArtificial intelligenceCommunicationSocial psychologyPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Abstract We argue that Agree is an asymmetric relation. According to Asymmetric Agree, if x Agrees with y , then the features of y must be properly included in the features of x . If the links of a chain created by movement are related by Agree, this correctly predicts the properties of syntactic movement chains. And if the links of a chain created by movement are subject to the Proper Inclusion Condition, that accounts for the (un)availability of extraction out of a moved XP. The following distinctions interact with Asymmetric Agree: whether movement is A or A-bar, whether or not the constituent extracted out of the moved phrase is selected by the head of that phrase, and whether movement is overt or covert. Syntactic movement is feature-structure preserving, in that the Proper Inclusion Condition applies to sets of features in a particular configuration.

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.

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)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
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 score0.867
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.223
Teacher spread0.197 · 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