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Record W2028123867 · doi:10.5539/elt.v1n2p104

An Exploration of Schema Theory in Intensive Reading

2008· article· en· W2028123867 on OpenAlexvenueno aff
Yanxia Shen

Bibliographic record

VenueEnglish Language Teaching · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsSchema (genetic algorithms)PsychologySubject matterLinguisticsCognitive psychologyCognitive scienceComputer sciencePedagogyInformation retrieval

Abstract

fetched live from OpenAlex

Considering the difficulties in understanding the global meaning of texts, this paper intends to give some suggestions on how to help students reach a deeper understanding of texts in intensive reading classroom within the framework of schema theory. The purpose of this paper is expressed in three ways. The first is to give a brief overview of some of the literature that deals with schema theory as part of a reader centered psycholinguistic processing model for both native and non-native readers. The second goal is to show how familiarity with the subject matter in terms of schema theory affects L2 understanding about the text. The third one is to discuss the implications of schema theory in L2. The conclusion can be made that texts become easier to understand when the teacher enhances the students' prior knowledge. Background knowledge is a bridge connecting existing knowledge in mind with the new text.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.134
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.281
Teacher spread0.238 · 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

Citations22
Published2008
Admission routes1
Has abstractyes

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