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Record W1876216503 · doi:10.1017/s0008413100000529

Stress properties of Greek compounds: Psycholinguistic considerations

2015· article· en· W1876216503 on OpenAlexaff
Athanasios Tsiamas, Gonia Jarema, Eva Kehayia, Gevorg Chilingaryan

Bibliographic record

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2015
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsMcGill UniversityCentre for Interdisciplinary Research in RehabilitationUniversité de MontréalJewish Rehabilitation HospitalInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsStress (linguistics)PsychologyLinguisticsCognitionPsycholinguisticsRelation (database)Cognitive psychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract Theoretical accounts of Greek compounds argue for a close relation between their stress properties and their underlying structure. Compounds that preserve and receive stress at the same position as their second constituent are analyzed as stem-word constructions, while those that receive antepenultimate stress are viewed as belonging to the stem-stem category. Using an auditory lexical decision task, we examine the effect of stress change on the processing of compounds in the light of existing theoretical linguistic accounts. Although our experimental results do not reach statistical significance, we believe that they are informative of the cognitive status and role of stress in compound processing. Finally, they relate to existing theories of compounding in Greek and reflect the complex interaction of the psycholinguistic effects of stress and the structural properties of these constructions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.051
GPT teacher head0.287
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2015
Admission routes1
Has abstractyes

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Same venueThe Canadian Journal of Linguistics / La revue canadienne de linguistiqueSame topicLanguage, Metaphor, and CognitionFrench-language works237,207