MétaCan
Menu
Back to cohort
Record W1756598183 · doi:10.24815/siele.v1i2.1828

A Study of Error Analysis from Students’ Sentences in Writing

2014· article· en· W1756598183 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueStudies in English Language and Education · 2014
Typearticle
Languageen
FieldComputer Science
TopicEnglish Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsSentenceVerbSubject (documents)LinguisticsVerb phraseComputer scienceQuarter (Canadian coin)Word (group theory)Natural language processingPsychologyArtificial intelligenceNounHistoryNoun phrase

Abstract

fetched live from OpenAlex

This study was to investigate the types of sentence errors and their frequency made by first grade students from a high school in Banda Aceh in their writing of English. The participants for this study were 44 first graders chosen by random sampling. The research method used was quantitative as the data was analyzed with a statistical procedure. The data was obtained from written tests for a descriptive text entitled “My school” of 120-140 word length. This study found that three out of four sentence errors in the students’ writing were fragmented sentences whilst nearly a quarter of the errors were run-on or comma splice sentences. There were only a few choppy sentence errors and no stringy sentence errors. The data revealed five types of fragmented sentences: these were the absence of a subject, the absence of a verb, the absence of both a subject and a verb, the absence of a verb in a dependent clause, and the absence of an independent clause.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.277
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.348
Teacher spread0.325 · 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