Finding Harmony between Decolonization and Christianity in Academia
Bibliographic record
Abstract
This article presents our theoretical musings on practicing decolonization as Christian Tongan academics, recorded and shared within our Australian collective during 2022-2023. We aim to discuss the strength and power that comes from our Indigenous inheritance of God and Tonga, living in diaspora of Australia and Aotearoa New Zealand (tu'a Tonga). Amidst this Indigenous strength, there are also subtleties and crescendos of coloniality taking place in and around us, as well as the complexities and vulnerabilities with which Tongan Christian academics grapple in their sense making and meaning making processes. The significance of this discussion is that Oceanian women’s opinions and experiences of decoloniality are not often considered, particularly within the contexts of academia. We pray this article offers insights into how we can successfully navigate simultaneous private, public, individual, and collective journeys, daily, as Christian academics in the decolonization of these various spaces. This is our contribution as Christian academics, as daughters of Tonga, and wives and mothers of Oceania.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.045 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".