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Record W1619904349

The Study of Morphological, Syntactic, and Semantic Errors Made by Native Speakers of Persian and English Children

2011· article· en· W1619904349 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.

venuePublished in a venue whose home country is Canada.
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 literature and language · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPersianLinguisticsFirst languagePsychologyTaxonomy (biology)Test (biology)SyntaxNatural language processingComputer science
DOInot available

Abstract

fetched live from OpenAlex

This study tried to analyze the errors made by Persian-speaking learners of English and English children learning English as their mother tongue. The researcher analyzed errors according to surface strategy taxonomy rather than comparative taxonomy. To do this study, the researcher selected 40 homogenous Persian-speaking learners of English and administered an elicitation test to the participants. The instrument for elicitation test were two pictures one related to US war against Iraq and Nouroz as the most popular national holiday in Iran. The participants were asked to write an essay type composition based on their background knowledge about the pictures. Then, the errors in their writing were extracted and analyzed. Descriptive statistics and chi-square were used to analyze data. According to the results, no significant difference was found among errors made by Persian-speakers learning English and English children learning English as their mother tongue. Key words: Morphological; Syntactic; Semantic; Native Speakers

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)0.000
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 score0.062
Threshold uncertainty score0.179

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 science0.0000.000
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 head0.033
GPT teacher head0.347
Teacher spread0.314 · 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