Bibliographic record
Abstract
Canada has had recurring debates about guaranteed or basic income over several decades. This article outlines reasons for implementing basic income in the Canadian context—reducing poverty and inequality, addressing precarious employment, and building an ecologically sustainable economy. Recently there has been a strong renewal of interest in basic income in Canada. Expressions of interest have come from the Liberal federal government elected in 2015, from provincial governments, from political parties not in power, and from municipal governments. Support for basic income also is found in a growing range of prominent individuals and organizations. While basic income advocates are encouraged by recent developments, several large and complex questions remain on how this approach can be implemented in Canada. These questions encompass the specifics of design, delivery, funding, and political support. How can basic income build on existing income security programs and leave Canadians better off in the end? How can we ensure that basic income is not used as an excuse to cut vital services such health care, social housing, early childhood care and development, and social services for those with disabilities and other challenges? How can basic income be set in place in Canada, given its complicated federal-provincial nexus of responsibility for, delivery of, and funding for social programs? The article concludes with principles that might help guide the implementation of authentically universal, adequate, and feasible basic income architecture in Canada.
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 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 | 0.002 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".