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Record W1843016525 · doi:10.5539/ass.v11n22p51

Reaction of Mentors and Mentees in the Native Speaker Programme of a Rural Primary School in Malaysia: A Phenomenological Study

2015· article· en· W1843016525 on OpenAlexvenueno aff
Mei Yun Ong

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyFrame (networking)PedagogyWork (physics)Phenomenology (philosophy)Frame workInterpretative phenomenological analysisMathematics educationMedical educationQualitative researchSociologyComputer scienceMedicineSocial scienceEngineering

Abstract

fetched live from OpenAlex

This phenomenological study investigated the reaction of the mentors and mentees in the Native Speaker Programme implemented in a rural primary school in Malaysia from 2011 to 2013 in terms of 1) programme objectives, 2) time frame, 3) motivation of the mentors and mentees and, 4) cooperation given throughout the programme. Three mentors and two mentees were interviewed to obtain their responses; and they were observed during classroom teachings and workshops. The results from the interviews and observations were triangulated to provide a comprehensive picture of the findings. It was found in the results that a strong mentoring relationship and effective communication are crucial to convey the essential information at the top-down level and to ensure that objectives are achieved. The mentoring relationship would subsequently have the bearing on their levels of motivation and to work collaboratively.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.137
GPT teacher head0.398
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 source (direct Gemma or distilled Codex), 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

Citations2
Published2015
Admission routes1
Has abstractyes

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