Recent Political Manifesto Commitments to Basic Income in Canada
Bibliographic record
Abstract
We detail the political party commitments of a basic income in Canada over the last decade, a period of time in which we have seen renewed conversations about a basic income in Canada. We find that in all but one case the policy commitments lack any detail about design choices and no commitments to a basic income reference the principles of a basic income. Overall, at the political level there continues to be a lot of detail that have yet to be mapped out, detail that is important to understanding the specific commitment and whether the stated objectives could be achieved with the form of basic income proposed. In addition, the implementation of key technical elements seems poorly understood. These existing political commitments provide limited information that B.C.’s Expert Panel on Basic Income can use to inform any design decisions. This is unfortunate, as the policy debates on a basic income are unlikely to move forward in any definitive fashion without the details being flushed out.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.020 | 0.007 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 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".