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Record W1580936325

The Four Seasons and the Accusative-Locative Opposition in Polish

2013· article· en· W1580936325 on OpenAlexaff
Barbara Bacz

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage and Culture
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAdverbialLinguisticsHistoryContext (archaeology)Philosophy
DOInot available

Abstract

fetched live from OpenAlex

It sometimes appears that the very possibility of a given case usage depends on the lexical content of the declined nominal.For instance, in Polish the prepositionless instrumental can easily mark the time substantive noc 'night' in sentences such as Przyszli nocQ 'They came at/by night-INsTSG' or Pracuje nocami 'He works at night-'NsTPL' but it is impossible to find it on the substantive dzien 'day' in the same or similar context.When used in an adverbial of time, the instrumental form of dzien occurs only in some set phrases, such as dzien za dniem 'day in, day out-INST SG' or dniami i nocami 'days-INsT PL and nights'.Confronted with certain case uses in Slavic, linguists have often been forced to conclude that it is virtually impossible to separate the grammatical meaning of a case from the lexical content of the case-marked nominal.Commenting on the meaning of the Russian instrumental in his 1936 classic 'Beitrag zur allgemeinen Kasuslehre', Jakobson (1936 [1990: 357]) states, supporting his observation with examples taken from the poetry of Majakovskij, that 'everything other than peripheral status is given in individual uses of the instrumental by the actual meaning of its referent and by the context, but not by the case form' (my emphasis).In her 1993 book on the semantics of the Czech dative and the Russian instrumental, written from the cognitive semantics perspective of Langacker and his followers, Janda (1993: 142) observes that cognitive linguistics appreciates 'the role of syntactic structure and lexical choice (my emphasis) in disambiguation of Sciences Humaines, 45-50.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.014
Scholarly communication0.0070.008
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.007
GPT teacher head0.227
Teacher spread0.220 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

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