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Record W2390518380 · doi:10.4312/an.35.1-2.115-126

Second person pronouns used by Slovene and American Slovene speakers as linguistic markers of personal and social (in)equality

2002· article· en· W2390518380 on OpenAlexaboutno aff
Nada Šabec

Bibliographic record

VenueActa Neophilologica · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsFormalityPersonal pronounPronounLinguisticsContext (archaeology)PsychologySolidarityFace (sociological concept)SociologyHistoryPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This paper discusses the use of second person pronouns in Slovene as linguistic markers of personal and social (in)equality in face-to-face interaction. In addition to the fundamental social dimensions of power/status and solidarity that are usually associated with the choice of a particular pronoun in such interactions, I explore some other dimensions such as formality and casualness that may also contribute to the choice. The focus is on the comparison of the use of Slovene second person pronouns in their native and diaspora contexts. While the rules for their use in Slovenia are relatively well established and observed in a fairly consistent manner, especially by older speakers, their use in the North American context is quite different. The questionnaire responses by Slovenes and their descendants living in the United States and Canada show that these pronouns are often used almost as if at random and that, especially with younger speakers, the predorninant form has become "ti". It is possible that this is due to the dirninishing knowledge of Slovene and the speakers' uncertainty as to which form to use, but also to the very strong influence of English with its exclusive use of you. The growing tendency of younger speakers in Slovenia toward ti is also addressed as a possible indication of a language change under way.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.230
Teacher spread0.192 · 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 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

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueActa NeophilologicaSame topicLinguistics, Language Diversity, and IdentityFrench-language works237,207