Cosmopolitanism or Multiculturalism? Towards an Anti-Colonial Reading
Bibliographic record
Abstract
Using Multiculturalism as an entry point, the paper interrogates conventional ideas and themes of Cosmopolitanism from an anti-racist and anti-colonial read. The discussion is informed by how the anti-racist and anti-colonial lens has shaped an understanding of multiculturalism and its convergences and divergences with Cosmopolitanism. My goal is to advance a rethinking' cosmopolitanism' from an Indigenist anti-colonial democratic lens highlighting a philosophy of educational practice geared towards new educational futurities for particularly [but not exclusively] Black, Indigenous and racialized bodies in the school system. It is argued that cosmopolitanism is about Land and relationships. This offers possibilities of learning from the ‘geographies of schooling’. The pedagogies of the Land, for example, require examining the narratives and encounters taking place in these 'geographies of schooling' to unravel colonial structures of education and ways we validate contending or competing for multiple knowledges for decolonizing and anti-colonizing education. In the context of the cosmopolitan, institutions like schools, as carceral projects, must acknowledge that anti-Black racism is ‘pervasive throughout the system’ and not simply assert rhetorically that 'anti-Black racism has no place in our school'! Critical educators in their practice of teaching training and preparation, must be able to name institutional silences, erasures, negligence, and complicities around race, anti-Black racism, and Indigeneity in order to create inclusive learning communities and schools as ‘working communities’.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.052 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".