Ecologies of De/colonization: Embodied Caribbean Diasporic Perspectives
Bibliographic record
Abstract
In this photo essay, we take readers through ecologies of de/colonization that we engage with in our creative methodology of walking and talking. As academics called upon to do equity, diversity and decolonization work in colonial institutions, we reflect on our location in lək̓ʷəŋən and W̱SÁNEĆ lands (“Victoria, BC, Canada”) and the circuits that extend to the Caribbean archipelago of our origins and families (Borikén/Puerto Rico and Jamaica). We take up the tasks of collectively reflecting on how to care for our communities and for each other in an interconnected world amidst socio-ecological crisis. Our method that emerged during the pandemic is specific to our embodiments “here” as settlers of Caribbean roots whose family histories “there” include both complicity with and domination by colonization, trans-Atlantic enslavement, and forced migration. We are attempting to learn, as we hold the messiness of institutions who want straightforward paths to remediate racism, colonization, and the like. Our walking and talking follow a meandering and re-visiting process prompted by our institutional contexts and circumstances, and also by serendipity, surprise and beauty offered through non-human elements on our walks. The photos evidence these moments and the connections to “here-there” in ecologies of de/colonization. We invite readers on our circuitous paths that involve deconstructing, and building or affirming, noticing, following literal paths and those in scholarly-activist circles. In the creative process of drawing relations of the here-there, and attending to serendipity, ancestral spirit, and more-than-human agency, we witness and imagine worlds otherwise (King et al., 2020). These circuitous roots and routes offer possibilities of reckoning, repairing and re-worlding.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.039 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".