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Record W4213390908 · doi:10.1017/s0008413100003674

Affixes at the Edge

2005· article· en· W4213390908 on OpenAlexaff
Anna Maria Di Sciullo

Bibliographic record

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsAffixScope (computer science)LinguisticsHierarchyGrammarHomogeneousMathematicsUnificationRoot (linguistics)Computer scienceCombinatoricsPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article shows how affixal scope and precedence relations fall out in a natural way from properties of the computational system. Using Asymmetry Theory (Di Sciullo 2005), it is proposed that: (i) roots and affixes form minimal trees; (ii) minimal trees compose with each other to form morphological phases; (iii) features of a morphological phase edge that are legible at Phonetic Form (PF) determine affix-root linearization; and (iv) ordering of affixes relative to each other follows the Hierarchy of Homogeneous Projections, which constrains scope relations at Logical Form (LF). Three languages are considered: English (which has prefixing and suffixing), Yekhee (strongly prefixal), and Turkish (strongly suffixal). The findings presented here support a parallel model of grammar: morphological derivations (D M ) parallel syntactic derivations (D S ), with restricted interactions between them.

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)0.037
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 score0.927
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.019
GPT teacher head0.225
Teacher spread0.206 · 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
Published2005
Admission routes1
Has abstractyes

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