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Record W176523670

Decolonisation as a social change framework and its impact on the development of Indigenous-based curricula for Helping Professionals in mainstream Tertiary Education Organisations

2010· dissertation· en· W176523670 on OpenAlexaboutno aff
Taima Moeke-Pickering

Bibliographic record

VenueResearch Commons (University of Waikato) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousAotearoaIndigenous educationMainstreamDecolonizationColonialismPolitical scienceCurriculumContext (archaeology)SociologyPedagogyPoliticsGender studiesGeographyEcology
DOInot available

Abstract

fetched live from OpenAlex

This research examined the social and political approaches that Indigenous peoples undertook to situate Indigenous-based education programmes in mainstream post-secondary/tertiary education organisations. Indigenous-based helping programmes assist to progress Indigenous aspirations for self-determination and are sites that center Indigenous worldviews. A decolonisation analysis framework that is embedded in the curriculum deepens students’ understanding about the impacts of imperialism, colonisation and post colonial issues. This thesis involved researching two Indigenous-based programmes that are based within mainstream tertiary institutes. The first is the Te Whiuwhiu o te Hau Maori Counselling degree programme which is based at the Waikato Institute of Technology (WINTEC) in Hamilton, Aotearoa, New Zealand. The other is the Native Human Services Social Work degree programme which is based at Laurentian University in Sudbury, Ontario, Canada. I start this thesis with “opening the circle” and situating the context for my research. Next is the literature review chapter. This chapter provides a review of decolonisation-colonisation, decolonisation frameworks within Indigenous education, self-determination and Indigenous peoples, and Maori and Native self-determination strategies relevant to health and education. I used a case study method combined with an Indigenous methodology to guide the research. This involved gathering key pieces of information as well as interviewing participants (graduates, tutors/faculty/developers) from each programme. In chapter four is the Te Whiuwhiu o te Hau case study and in chapter five is found the Native Human Services case study. Each case study covers pre-colonial and colonisation contexts and examines assimilative legislation on Indigenous education and health. The backgrounds of social work and counselling, Native social work and Maori counselling are also presented. In the case studies is the background and rationale for the development of each programme, as well as pertinent information on the course content. Chapter six presents on the findings and conclusion and chapter seven “closes the circle”. The main findings highlighted that Indigenous curricula and pedagogies embrace Indigenous theories and discourse relevant to the helping practice fields. Secondly, each programme fosters students to make positive changes for themselves, for their communities, and for their professions. Another finding is that faculty/tutors promote an inclusive Indigenous pedagogy in the classroom that incorporates cultural ceremonies, encourage personal introspection, builds cultural and professional skills, and teaches critical education. Both programmes reflected a pedagogy that taught students to counter negative narratives while instilling a critical analysis of decolonisation and colonisation. I propose that a decolonisation analysis is both a reflective and healing tool, in that students are provided with the hard evidence about their histories and what happened to their communities. I contend that Indigenous-based programmes contribute to the continuity of Indigenous culture and wellbeing of their communities and, that they play a vital role in advancing Indigenous education priorities.

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)0.012
metaresearch head score (Gemma)0.010
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 score0.033
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.029
Scholarly communication0.0080.006
Open science0.0020.013
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.061
GPT teacher head0.427
Teacher spread0.366 · 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

Citations19
Published2010
Admission routes1
Has abstractyes

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