Bibliographic record
Abstract
Since 1960, Canadian industry has lagged behind other advanced capitalist economies in its level of commitment to research and development. Asleep at the Switch explains the reasons for this underperformance, despite a series of federal measures to spur technological innovation in Canada. Bruce Smardon argues that the underlying issue in Canada's longstanding failure to innovate is structural, and can be traced to the rapid diffusion of American Fordist practices into the manufacturing sector of the early twentieth century. Under the influence of Fordism, Canadian industry came to depend heavily on outside sources of new technology, particularly from the United States. Though this initially brought in substantial foreign capital and led to rapid economic development, the resulting branch-plant industrial structure led to the prioritization of business interests over transformative and innovative industrial strategies. This situation was exacerbated in the early 1960s by the Glassco framework, which assumed that the best way for the federal state to foster domestic technological capacity was to fund private sector research and collaborative strategies with private capital. Remarkably, and with few results, federal programs and measures continued to emphasize a market-oriented approach. Asleep at the Switch details the ongoing attempts by the federal government to increase the level of innovation in Canadian industry, but shows why these efforts have failed to alter the pattern of technological dependency.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".