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Te Koronga Special (Full Issue)

2023· article· en· W4384939458 on OpenAlexfundno aff
Anne‐Marie Jackson, Chelsea Cunningham, Danny Poa, Chanel Phillips, Jeremy Hapeta

Bibliographic record

VenueMAI Journal A New Zealand Journal of Indigenous Scholarship · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicReligious Studies and Spiritual Practices
Canadian institutionsnot available
FundersUniversity of CambridgeMelbourne College of DivinityHealth Research Council of New ZealandUniversity of DivinityUniversity of TorontoUniversity of Otago
KeywordsExcellenceContext (archaeology)SociologyLibrary scienceHistoryPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

The year 2023 marks the 10th anniversary of the Te Koronga Māori research and teaching excellence kaupapa. Professor Anne-Marie Jackson, Dr Hauiti Hakopa, Dr Samantha Jackson and Mr Brendan Flack established Te Koronga in 2013 at the University of Otago with the support of the late Hiria Mei Cessy Parore. Koronga refers to a yearning for esoteric knowledge and practice. The kaupapa of Te Koronga is Māori research and teaching excellence that aims to uplift the hopes and aspirations of Māori communities in the context of mauri ora.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.275
Teacher spread0.234 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

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