Place-Conscious Education: Teaching Displacement Using Oral Histories in Virtual Reality
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
Abstract Deep in the bayous of Louisiana lies Isle de Jean Charles, home to the tribe of the Jean Charles Choctaw Nation, made up of the tribes of the Biloxi, Chitimacha, and Choctaw, since the early 1800s. At this time the three tribes were distinct and had kept much of their culture intact by isolating themselves from European contact, even if it meant ceding their land. They were seen as “invisible people,” those who kept to themselves to avoid contact with whites. As the remnants of the tribes of the Biloxi, Chitimacha, and Choctaw resettled in Terrebonne Parish, their land encompassed 22,000 acres (about half the size of Washington, DC). After their initial displacements, the tribe suffered loss of land again when oil companies dug more than 10,000 miles of canals straight through the wetlands and brought oil rigs to Isle de Jean Charles. Promised repair of wetlands never happened. Isle de Jean Charles has now been reduced to only 320 acres (which is about five and a half times the size of the National Cathedral in Washington, DC), and, in some places, is only a quarter of a mile wide. Virtual reality lessons have been implemented to teach others by documenting the residents’ voices using their history of place and ancestry and experiences of displacement due to the dramatic loss of land brought on by the destruction of wetlands in the Gulf of Mexico.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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