Bibliographic record
Abstract
“Where the Land Remembers Us” tells the story of Kisu, a Two-Spirit Afro-Indigenous L’nu’k navigating the interconnecting experiences of displacement, un/belonging, and home. From the forced migration of Ancestors from Motherland Afrika to the ongoing dispossession of Mi’kmaw homelands, Kisu carries the weight of histories that ripple into the present. They find themselves drawn to the Shore, where the ocean’s song stirs ancestral memory and the fire’s crackle speaks piercingly of survival and resistance. As Kisu reconnects with land and community, they come to understand that home isn’t a place defined by walls or ownership, but a practice of relational care and shared responsibility. Alongside others in the community, Kisu helps create a space for storytelling, singing, and collective remembering – transforming the Shoreline into a living archive of survivance. This story reflects upon what it means to live in right relationship with the land and with one another, especially when home feels like it is always being taken or denied. This story is an exploration of home as something we carry with us, cultivated in community, and nurtured through care, justice, and presence. In the end, it is the land itself that remembers – and in that blood memory, we find our way back to ourselves and recall from our Ancestors what it feels like… to belong.
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 | 0.001 | 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 | 0.005 | 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".