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Record W7117477350 · doi:10.1386/public_00262_2

Where the Land Remembers Us

2025· article· en· W7117477350 on OpenAlexaff
Ann Marie Beals

Bibliographic record

VenuePublic · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsSpace (punctuation)Collective memoryLand tenureIdentity (music)Carry (investment)Recall

Abstract

fetched live from OpenAlex

“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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.308
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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