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Record W2886281756 · doi:10.5539/elt.v11n9p80

A Study of Pragmatic Function of Speech Acts in Mission Statements on the Basis of Adaptation Theory

2018· article· en· W2886281756 on OpenAlexvenueno aff
Zhang Mengqi, Zhanghong Xu, Wan Muchun

Bibliographic record

VenueEnglish Language Teaching · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Strategy and Culture
Canadian institutionsnot available
FundersChina Petrochemical Corporation
KeywordsAdaptation (eye)Perspective (graphical)Competition (biology)Function (biology)PsychologyLinguisticsComputer science

Abstract

fetched live from OpenAlex

orporate mission, a core part of corporate culture, plays an important role in the development and competition of companies. The study of mission statements is beneficial to both companies and stakeholders. This paper explores corporate mission from the perspective of linguistics on the basis of speech act theory and adaptation theory and reveals that assertives account for a large proportion with a small proportion of commissives and zero proportion of directives, expressives and declarations. Some skills can be used to polish the language of mission statements, like pun, personification and parallel structures. And some high frequency words are summarized. Several characteristics and writing skills are summarized about mission statements. The criteria of judging whether the mission statements are good or not are given in this paper.

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)0.011
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
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 head0.017
GPT teacher head0.265
Teacher spread0.249 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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