Ri’pin’tsas ílti skvlhta, ílti spl’úkwa muta7 i skcúsa. Raised in mud, wood smoke, and tears: Reclaiming Indigenous Identity Post Sixties Scoop.
Bibliographic record
Abstract
Raised in mud, wood smoke, and tears is a personal exploration through research/praxis that investigates ways of re-connecting to oral storytelling and land-based forms of knowledge that were ruptured by the Sixties Scoop. My praxis involves the unfolding of an intergenerational narrative that is presented: both my mother, Maria Mae Pascal, and my late grandmother, Theresa Attsie Pascal of the Lil’wat Nation are survivors of the Sixties Scoop which was the mass apprehension of Aboriginal children from their families into the child welfare system that began during the 1960’s and is said to have continued until the 80’s, but I believe it continues still today as our children are still being taken. This thesis is a response to the profound losses left from this part of my colonial history; the land-based elements are representations of these places of disconnection and reconnection. It is an MFA journey that grapples with the intergenerational effects of cultural genocide but is also a story about the reclamation of ancestral heritage. This thesis support document tracks the forces and processes of my research and final MFA project. It is a multi-sensorial installation that invites viewers to inhabit the space and feel the loss and hope that is being evoked through the work.
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 | 0.001 | 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".