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Record W4311301033 · doi:10.20355/jcie29511

Māori Academic Challenges: Delivering Mātauranga Māori During COVID-19

2022· article· en· W4311301033 on OpenAlexvenueno aff
Fiona Te Momo

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2022
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsAotearoaCoronavirus disease 2019 (COVID-19)SociologyPandemicGlobeMedia studiesHistoryPolitical scienceGender studiesPsychologyMedicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

In March 2020, the COVID-19 pandemic disrupted academic educational programmes in universities across the world, including Aotearoa New Zealand. For Māori academics who implement mātauranga Māori as a pedagogy, it became theoretically and practically challenging teaching virtually and online. The Te Taha Tinana, of Te Whare Tapa Wha model, created by aDurie in 1984 (Health Navigator, 2022) regarding the four dimensions of well-being, focuses on the physical presence, physical embodiment, and physical behaviour. This could not be easily taught virtuality through a computer screen during COVID-19 lockdown. For Māori academics transitioning from teaching Mātauranga Māori in person to an online environment brought forth these challenges. The challenges re-emerged in August 2021 when New Zealand went into Level 4 lockdown overnight because of the new COVID-19 Delta Virus variant. In 2022, the Omicron variant caused many universities in Aotearoa New Zealand to continue their first semester teaching online. Mātauranga Māori is a body of knowledge exercised by Māori people in New Zealand. Sadler (2007) argues Mātauranga Māori was first invented by Māori when Pākehā (English people) arrived in New Zealand. He suggests Mātauranga Māori is a paradigm where Māori define the parameters. Royal (2009; 2012) claims this knowledge was brought to New Zealand by Polynesian ancestors and is an evolutionary continuum of knowledge that relates to encountering the world as Māori with the focus on improving humankind. Le Grice, Braun, and Wetherell (2017) state Mātauranga Māori incorporates theories, practices, and protocols that are bound to relationships, people, and places in a world that supports Māori ambitions. This knowledge, for me an Indigenous Māori academic, incorporates the physical and spiritual worlds embracing the energies of the universe handed down by our forefathers. This position paper discusses the pedagogical challenges encountered during COVID-19 Lockdown for Indigenous academics to continue delivering programmes requiring indigenous expertise and human contact. It explores: 1) the Covid 19 Educational Barriers; 2) Online Academic Challenges; 3) Managing Cultural Shifts; 4) Sustaining Indigenous Pedagogy. It asserts that Mātauranga Māori contributes to the growth of Indigenous knowledge on a world stage and the challenges indigenous academics encounter brought by a global pandemic.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.132
GPT teacher head0.467
Teacher spread0.335 · 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 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

Citations3
Published2022
Admission routes1
Has abstractyes

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