Navigating “Hospitality” on Unceded and Ancestral First Nations Land and Water in So-Called British Columbia Among the Filipinx Diaspora
Bibliographic record
Abstract
Across a range of rural/urban spaces and sites of Indigenous-Filipinx encounters in so-called British Columbia, Filipinx settlers negotiate contingent relations of tension, solidarity, and world-making with multiple Indigenous nations. While most Filipinx-Canadian discourse remains focused on invisible labour and the experiences of caregivers in Canada (Coloma et al. 2012), our dialogue opens conversations about navigating settler colonialism as Filipinx community members living on the unceded and ancestral territories of First Nations, Métis, and Inuit by concretely considering how Filipinx settlers across “British Columbia” navigate relations and embodied practices of hospitality. The latter idiom offers a living, relational analytic that orients and troubles Filipinx diasporic presences and arrivals on unceded Indigenous territories. At the same time, navigating the intimacies, authorities, and reciprocal moral ties of Indigenous hospitality remains tethered to the everyday work of Filipinx-Indigenous relation- and place-making. By thinking about both place-based and inter/national analytics of “hospitality,” the stories we tell of our academic interests, critical geographies, relationalities, community organizing, and ongoing dialogue offer a tentative start to rethinking relations as two distinctly situated Filipinx community members grappling with positions of solidarity as world-making.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.033 | 0.015 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| 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".