Bibliographic record
Abstract
As a newcomer to Canadian culture, I present an interpretive rendering of my encounters with settler and Indigenous relations. It is my humble attempt to respond to the Truth and Reconciliation Calls to Action ([TRC], 2015) for newcomers, by providing insight into what newcomers might experience in response to the complexities of Indigenous and settler dialogues. Newcomers are diverse groups, on the fringes of Indigenous-settler relations discourse, and outside of the protocols to enter such dialogues. Therefore, I ask, where and when can newcomers, temporary or long term, enter the dialogues in meaningful, respectful ways? I came to recognize that as a newcomer the more appropriate course of action would be to wait to be invited into the conversation; but that does not absolve me of the responsibility to inform myself about Indigenous-settler relations and confront my discomforts with how I am implicated in these relations. This led me to inquire, can newcomers be of value in the ways multiple ethnic groups live together, in a good way? Using a hermeneutic and mythopoetic lens I present a series of vignettes that attempt to grapple with these questions, to contribute to the discourse of responses to the Calls to Action (TRC, 2015).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".