Geographies of Indigenous Leaders: Landscapes and Mindscapes in the Pacific Northwest
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This essay features three stories of “place-based” leadership in two Indigenous communities in the Pacific Northwest. Author Michael Marker weaves together stories from Nisga'a Elders in the Nass Valley of British Columbia, Coast Salish Elders in Washington State, and his own experiences as a researcher, teacher educator, and community participant to connect the personal, the political, and the historical themes of Indigenous education. Marker identifies two salient concepts through the developing narrative: first, leaders from an Indigenous consciousness must invigorate traditional spiritual foundations, and, second, they must mobilize knowledge of the land and people—corroded by colonization—toward cultural renewal. Bringing to light the conflicts between local community yearnings and Western institutional goals when engaging in cross-cultural collaborations, this essay puts forth a decolonized approach to educational leadership, one that requires cultural renewal and respect for how a people experience landscape, history, and identity.ErratumPublisher's Note: Due to an editing error, the original published version of “Geographies of Indigenous Leaders: Landscapes and Mindscapes in the Pacific Northwest” by Michael Marker misstated the present status of the Lummi Day School. The earlier version stated on page 230 that “This school is currently a U.S. government institution that serves students from kindergarten through eighth grade.” The sentence has been corrected to read: “This school was a U.S. government institution that served students from kindergarten through eighth grade.”Updated: 2015-09-30
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 it