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Record W2156809035 · doi:10.5539/ells.v1n1p50

Can the Essential Lexicon of Geology be Appropriately Represented in an Intuitively Written EAP Module?

2011· article· en· W2156809035 on OpenAlexvenueno aff
Rahma Al‐Mahrooqi, Saleh Al-Busaidi, Jayakaran Mukundan, Touran Ahour, Yu Jin Ng

Bibliographic record

VenueEnglish Language and Literature Studies · 2011
Typearticle
Languageen
FieldComputer Science
TopicNatural Language Processing Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsLexiconConsistency (knowledge bases)VocabularyComputer scienceWord (group theory)Section (typography)Key (lock)SoftwareMathematics educationLinguisticsNatural language processingArtificial intelligenceProgramming languageMathematicsPhilosophy

Abstract

fetched live from OpenAlex

This study aimed to find out to what extent an intuitively developed ESP module for Science majors, taught at Sultan Qaboos University is appropriately written in terms of lexicon when compared to a core Geology textbook. The module was developed based on key topics which appeared in the Geology textbook. This study will only be evaluating vocabulary and will not be looking at other aspects of material evaluation. The digitized pages of the Module (LANC 2050) and the Essentials of Geology Textbook were loaded into the Software of WordSmith 5.0 for analysis. The results revealed low percentage word coverage in the module as compared with the limited pedagogical word list that was developed for Geology. In addition, the high density and low consistency ratios for the module as compared to the textbook indicated the compactness of the module for teaching purposes. A very low percentage of the technical words that were related to Geology was discovered in the Module (LANC 2050).

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 score0.524
Threshold uncertainty score0.473

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 studies0.0000.000
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 head0.019
GPT teacher head0.281
Teacher spread0.261 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

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