An ephemeral anomaly. The metamorphoses of the Eskimo Language School: 1968-1999
Bibliographic record
Abstract
This is an informal history of the now defunct Eskimo Language School and its successors from 1968 to its demise in 1999. The Eskimo Language School was an institution set up by the Department of Indian Affairs and Northern Development of the federal government of Canada in order to provide Inuktitut as second language training to federal and North West Territorial employees. Private students were also admitted if there was space. It could therefore be considered an early effort to ameliorate the effects of the language shift from Inuktitut to English that was the inevitable result of the incursion of a massive southern bureaucracy into the Arctic. In addition, the school had a secondary effect on the situation as it provided a casual form of apprenticeship in applied linguistics to the young Inuit who spent time there as instructors. Its story is also that of an anomaly, a creation of the bureaucracy that escaped the usual stultifying institutional control for most of its existence. At the end of the paper there is a brief discussion of the problems involved in teaching a polysynthetic language to speakers of languages such as English and French, with suggestions for solutions.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".