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Record W2797560550 · doi:10.3968/10228

The Neglected Writing Style of Mathematical Modeling Essays

2018· article· en· W2797560550 on OpenAlexvenueno aff
Leyang Wang

Bibliographic record

VenueCanadian social science · 2018
Typearticle
Languageen
FieldComputer Science
TopicEducational Technology and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsFormalityObjectivity (philosophy)Style (visual arts)ChinaSimplicityAcademic writingWriting styleComputer scienceSubjectivityQuality (philosophy)SociologyEpistemologyLinguisticsMathematics educationPsychologyLiteraturePolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

In modern society, academic exchanges are mainly processed in the style of English for Academic Purposes. Western countries have long been attaching importance to EAP teaching, while China just begins to teach EAP in the recent decade. With the purpose to enhance the quality of EAP teaching in China, Chinese publishers have published several sets of textbooks on EAP, most of which illustrate the following language features: formality, complexity and objectivity. However, those textbooks seldom discuss the unique writing style of mathematical modeling essays. Despite the fact that these essays are also written in a formal style, complexity and objectivity do not seem to be their focus. In fact, simplicity and subjectivity are considered as the two accepted unique stylistic features of mathematical modeling essays. This leads to the embarrassing result that most of mathematical modeling essays by Chinese authors are written according to the common features of other academic essays. It may deter academic exchanges of Chinese scholars with their counterparts from foreign countries. Therefore, Chinese teachers who teach EAP are required to be aware of the differences between mathematical modeling essays and other common academic essays.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.809
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
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.299
Teacher spread0.278 · 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
Published2018
Admission routes1
Has abstractyes

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