áanzho ha’shi ‘dał’k’ida’, ‘áá’áná’, ‘doo maanaashni’: Welcoming ‘long ago’, ‘way back’ and ‘remember’—as an Ndé decolonization and land recovery process
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
Memory, re-membering, oral history and critical recovery are pillars of a Ndéi decolonization and self-determination process in indigenous peoples’ rancherías along the Lower Rio Grande River and Texas-Mexico border. The goals of this process are to dismantle the U.S. border wall bifurcating the customary lands of indigenous peoples; to reclaim dispossessed lands; and to revitalize Ndé ways of life in autonomy and self-governance. In the Ndé language, we can communicate in this way about a recovery process, Dáanzho ha’shi ‘dał’k’ida’ áá’áná ‘doo maanaashni’—‘long ago, way back’ and gain knowledge, insights and tools from our foremothers’ and forefathers’ struggles and resistance strategies. In October 2009, when the U.S. violently coerced and forced vulnerable peoples off the community lands along the Texas-Mexico border, and obstructed international covenants, treaties, and human rights laws, the discursive legal fiction of ‘terrorism’ was deployed to launch a massive land grab. At this stage, however, indigenous peoples along the Lower Rio Grande River were already involved in an ongoing process of restoring and implementing Ndé law and governance systems based upon women’s traditional knowledge and historical experiences in land defense.
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 | 0.000 | 0.001 |
| 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 | 0.001 |
| 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