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Record W4387083824 · doi:10.1017/9781009322904.006

Politeness

2023· book-chapter· en· W4387083824 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPolitenessHonorificDeferenceLinguisticsDiscernmentPoliteness theoryFace (sociological concept)PsychologyPeriod (music)Social psychologyAestheticsArtPhilosophyTheology

Abstract

fetched live from OpenAlex

Chapter 5 introduces two approaches to politeness: politeness as the avoidance of face-threatening acts and politeness as the enhancement of communicative concord. Over time, politeness has changed significantly. The Old English period was a period of “discernment” politeness, growing out of the fixed social order. The Middle English period saw the rise of “deference” politeness following the French fashion (i.e., the honorific system of second-person pronouns). A face-based system began in Early Modern English, but studies are not consistent in finding this to be a positive or negative politeness system. The deference politeness system fell out of use. The eighteenth century extolled polite manners and behavior and has been described as a “compliment culture”. The modern period is characterized by “non-imposition” politeness, most obvious in the development of indirect directives (negative politeness). At the same time, a system of camaraderie politeness, which increases solidarity and eliminates distance between individuals, coexists (positive politeness). The chapter provides case studies of compliments, insults, thanks, and responses to thanks in the history of English.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.063
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0630.020

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 head0.072
GPT teacher head0.232
Teacher spread0.161 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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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Same venueCambridge University Press eBooksSame topicLanguage, Discourse, Communication StrategiesFrench-language works237,207