Decoloniality, First Nations Thinkers and thought and practices from the Global South - CC BY-SA 4.0 - Open Access
Bibliographic record
Abstract
This online research and educational resource has over 650 individuals, and numerous First Peoples websites, see for instance, First Nations Websites, Educational Resources, Institutes and News online .There are three sections to nearly every author in this site which has 25 clusters of thinkers: Browse Collections . Within each collection are numerous authors. Their work are gathered under primary works, secondary works, which can be edited volumes, co-edited works and academics writing about the author's work and concept or it can be an engagement with a specific idea, which is also part of the authors work, and extra resources. This third section, extra resources include podcasts, lectures, conversations, discussion with or about the thinker, and blogs and websites for example. This incomplete archive of thinkers and practitioners, networks and resources, has been researched and curated by Dr Liz Dean with research assistants who came on board at different times when small funds enabled this: Prue Rutter, Jo Daffy, Connor Brett, Pavit Bakshi and Chabel Din Khan and Ary Hermawan, who created the digital 'cluster-of-thinkers' (with Unimelb's digital studio internship program under the guidance of Dr Mar Quiroga, Melbourne Data Analytics Platform (MDAP). Dr Mar Quiroga, MDAP designed this Omeka site and translated the clusters of thinkers to this site with meticulous care, generosity and knowledge. I am indebted. This work in progress began in 2021 to respond to discussions within and outside of universities about decolonising education, colonialism in the present, and becoming more open to First Peoples knowledges and knowledges from the global south in teaching and learning and also from listening to student led and First Nations questions which included: 'why is our curriculum (still) so white'. To address, in part, epistemic injustices of such occlusion, this site brings together transnational scholars and knowledges and has been researched and created for subject coordinators and students use in research, assessments, seminars and curricula renewal. It sought to make more readily available First Peoples thought and practice, decolonial and global south thinkers and knowledges.The site is not an exhaustive list of scholars, their works and knowledges. The focus is more on the area I am located, now called Australia, while also seeking to include an array of regions from the global south. Limitation of this site include its privileging english language, which means there will always be absences. There is also a contribution button made available for omissions, and people engaging with this site are invited to add the 'missing people'.Thanks also to the authors who spent time sending their photos and granting permissions for use.RegardsLiz
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.106 | 0.021 |
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".