Settler Filipino Kinship Work: Being Better Relations within Turtle Island
Bibliographic record
Abstract
This dissertation asks how settler Filipinos can be better relations to Indigenous lands and life within Canada. Through writing autoethnographic reflections as a settler Filipina and conducting close readings of Indigenous, diasporic Asian, and Filipino literary art, I think through how settler Filipinos can ethically support Indigenous communities and movements. My analysis centres three ideas: that, to be better relations, Filipinos should 1) un-first our perspectives of the territories colonially called Canada, 2) practice what Gregory Cendana (2020) and DRUM — Desis Rising Up and Moving call embodied, transformative solidarity, and 3) revitalize the principle of kapwa, a Filipino belief of shared relationality between and across all of creation. I examine these ideas in four chapters. In chapter 1, I discuss colonization in the Filipino context, to understand the colonially caused migration that has resulted in many Filipinos settling in Canada. In chapter 2, I study a map of Vancouver, Eden Robinson’s novel Monkey Beach (2000), and the poem beholden (2018) by Rita Wong and Fred Wah; here I borrow Jean M. O’Brien’s concept of “firsting” — those acts that portray “the colonial regime” as “the ‘first’ to bring ‘civilization’ and authentic history to” Turtle Island (xv) — and Melissa K. Nelson’s concept of “eco-eroticism” — intimate human-land, human-water, and human-nonhuman connections — to argue that these texts un-first common conceptualizations of Canada and uplift eco-erotic relations with/in Indigenous territories. In chapter 3, I discuss the potentials and limitations of settler Filipino solidarity work with Indigenous nations, sharing my experiences in organizing as well as working with scenes of solidarity within Catherine Hernandez’s novel Scarborough (2017) and Jill Carter’s play Encounters at the “Edge of the Woods” (2019). In chapter 4, I analyse José Rizal’s novels Noli Me Tangere (1887) and El Filibusterismo (1891) to examine how colonialism has disconnected Filipinos from the principle of kapwa, and to discuss the need to revitalize kapwa in the process of being better relations. The conclusion recognizes the need to extend these conversations to consider how Filipinos can be better relations to Black communities as well as to Indigenous communities in the Philippines.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.016 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".