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Record W2768269701 · doi:10.1017/jie.2017.38

Te Whakahōnere ngā Wawata o te Whānau: Honouring the Educational Aspirations of Whānau Māori in two English-Medium Primary Schools in the Otago-Southland regions in Aotearoa New Zealand

2017· article· en· W2768269701 on OpenAlexaff
Paul Whitinui

Bibliographic record

VenueThe Australian Journal of Indigenous Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAotearoaSociologyPedagogyConstructiveSpace (punctuation)Gender studiesProcess (computing)

Abstract

fetched live from OpenAlex

This paper reports on the preliminary findings of a study carried out in two English-medium primary (elementary) schools (years 1–6) located in the Otago-Southland regions between 2014 and 2015. The purpose of the study aimed to explore the educational aspirations whānau Māori (i.e., Māori family) want for their children, and to build better relationships for teaching and learning in these two schools. The opportunity to bring whānau Māori together using a school hui (i.e., formal school meeting) process, not only created a culturally safe space for whānau Māori to share their thoughts, ideas and concerns about their children's education, but it also provided an opportunity for constructive feedback, and a greater awareness of the success enablers for whānau Māori and their children. A key finding to emerge, is that, whānau Māori not only see the provision of schooling and education for their children as an extension of who they are as culturally connected learners, but also as a medium for learning more about their own cultural norms, values, beliefs, strengths and attributes.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0020.000
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 head0.041
GPT teacher head0.338
Teacher spread0.297 · 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.

Study designObservational
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

Citations4
Published2017
Admission routes1
Has abstractyes

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