Re-placing “Place” in Internationalised Higher Education: Reflections from Aotearoa New Zealand
Bibliographic record
Abstract
Aotearoa New Zealand is a small, island nation located on the rim of Oceania. Since colonisation by British settlers in the mid-1800s, the internationalisation of higher education (HE) in Aotearoa New Zealand has reflected shifting notions of nationhood – from an extension of Great Britain, to a (separate) bicultural nation, to a player in the global knowledge economy. Since the late 1980s, internationalisation policy has reflected the primacy of market concerns; the internationalisation of HE has been imagined primarily as a means to attract export revenue and human capital to Aotearoa New Zealand, and to increase brand recognition. However, internationalisation, as the movement of people and knowledge between places, can also be seen as pre-dating the development of nations, particularly in the Oceania context.Within mātauranga Māori, or Māori (indigenous) epistemological traditions, place is central to identity. To be human is to be part of something bigger than oneself; care for the land is care both for ancestors and the wellbeing of future generations. In this paper, we (re)consider internationalised HE in light of three questions that are central to mātauranga Māori: “Who am I? What is this world that I exist in? What am I to do?” (Royal, 2012, p. 35). After tracing the connections between internationalisation, colonisation, and nationhood in Aotearoa New Zealand,we consider how attention to Māori place-based epistemologies and values drawn from mātauranga Māori might challenge, stretch and ground contemporary internationalisation policies and practices in Aotearoa New Zealand.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.025 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".