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Record W7066921015

La distancia social y su relación con la cortesía lingüística en el español : Un estudio sobre hablantes andaluces

2023· article· en· W7066921015 on OpenAlexaff

Bibliographic record

VenueDalarna University College Electronic Archive · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsLibrary of Parliament
Fundersnot available
KeywordsPolitenessSociolinguisticsAffect (linguistics)Focus (optics)Social distanceField (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines how social distance in terms of different relationships affects the usage of linguistic resources, with a focus on the Spanish region Andalusia. The aim is to investigate how relationships between different interlocutors affect language, and particularly what different strategies of politeness are being used, and how these differ regarding each interlocutor presented. For the investigation, there are two main types of speech acts used: invitation and request. 30 native and residential Andalusians have participated in the investigation and answered a survey concerning several social situations. The results show that indirect types of politeness strategies are in general more produced when the social distance is extensive. Furthermore, the results of the investigation indicate that politeness strategies can also differ between interlocutors that do not reflect an exceeding social distance. The results presented in this thesis contribute to the research field of sociolinguistics with focus on how social distance affect the usage of politeness in the Andalusian region, which will be useful for making comparisons between different regions in the Spanish speaking world.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.010
GPT teacher head0.236
Teacher spread0.226 · 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
Published2023
Admission routes1
Has abstractyes

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