Projected speaker numbers and dormancy risks of Canada's Indigenous languages
Bibliographic record
Abstract
Data and code for the paper "Projected speaker numbers and dormancy risks of Canada’s Indigenous languages". Contain speaker numbers by age and language (Indigenous mother tongue, unique responses). There is one file per year (2001, 2006, 2011, 2016, 2021). Data were provided by Statistics Canada. These include: - indigenousmothertongue2001.csv- indigenousmothertongue2006.csv- indigenousmothertongue2011.csv- indigenousmothertongue2016.csv- indigenousmothertongue2021.csv Additionally, the file 'coordinates.xlsx' contains the geographic coordinates necessary for Fig. 1. Information comes from Ethnologue with modifications. Also included is the life table information produced by World Population Prospects 2024 (wpp 2024 files) available at https://population.un.org/wpp/Download/Standard/Mortality/. These are provided here for convenience as well as to prevent updates by the WPP. Also contains the whole R code to produce the results described in the paper (RevisedScript_ProjectCanIndigLangs_Final.R).
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.013 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.062 | 0.023 |
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".