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Record W4401135762 · doi:10.5430/wjel.v14n6p417

One Word and Multiple Senses: John Locke’s Philosophy of Abuse of Language

2024· article· en· W4401135762 on OpenAlexvenueno aff
Shaista Zeb, Muhammad Ajmal, Martina Pavlíková, Sohaib Alam, Farhan Ahmad, Sameena Banu

Bibliographic record

VenueWorld Journal of English Language · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsMeaning (existential)Word (group theory)LexicographyComputer sciencePhenomenonPhilosophy of languageProcess (computing)PsychologyEpistemologyPhilosophyMetaphysics

Abstract

fetched live from OpenAlex

This paper aims at examining the impotence of language or what is famously referred to as the phenomenon of inconsistency of language through the philosophy of John Locke on the abuse of language and with specific reference to the Eighth Edition of the Oxford Advanced Learner’s Dictionary authored by Hornby (2010). Locke as well stated that adequate signs which he also referred to as words are lost or corrupted especially when a word is given many meanings. By discussing selected entries of the dictionary, the present research intends to demonstrate how polysemanticity and the use or a word in different contexts can cause what Locke called language misuse. Illustrating in the case of particular examples, the study shows the potential consequence of this process for the language learners and users, stressing on the necessity to enhance the meticulousness of the language one will opt to use. The research concludes that there is need to resolve discrepancies that grow from these ambiguities for language teachers and lexicographers to improve meaning and communication, an idea supported by Locke’s goal of enforcing the correct usage of language among English speakers. Results imply that teachers should draw students’ attention to the fact that words’ meanings cannot be understood separately from their contexts. Language educators are advised to introduce the students to the different meanings of words and contexts of their use.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.266
Teacher spread0.240 · 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.

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
Published2024
Admission routes1
Has abstractyes

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