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Record W2625066173 · doi:10.5430/elr.v6n2p50

Teaching Reading in Rukwangali: How Children Learn to Read---A Case Study

2017· article· en· W2625066173 on OpenAlex
Theresia Nerumbu Siyave

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

VenueEnglish Linguistics Research · 2017
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
Fundersnot available
KeywordsPhonicsReading (process)VocabularyMathematics educationMeaning (existential)Qualitative researchPedagogyPsychologyComputer scienceLinguisticsSociologyPrimary education

Abstract

fetched live from OpenAlex

This paper looks at how children learn to read. It draws on the cognitive constructivist view and the schemata theory which inform the teaching of reading. This is a qualitative case study carried out in an interpretive paradigm as it seeks to understand the meaning people attach to human actions. Participants were selected purposefully and in terms of convenience.The data was collected from four grade three teachers at three schools in Rundu, Kavango Region of Namibia. Qualitative research methods were employed and data was triangulated to enhance validity.The study reveals that teachers use multiple methods that include phonics and syllabification to help struggling learners to decode difficult and long words; look-and-say method for whole word recognition; and thematic approach to expand learner’s vocabulary and enhance their understanding. The study also found that lack of reading books written in Rukwangali and large classrooms constrain the teachers from teaching in a more learner-centred way.

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)0.008
metaresearch head score (Gemma)0.088
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.088
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.104
GPT teacher head0.466
Teacher spread0.362 · 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