The drive to innovation: The privileging of science and technology knowledge production in Canada
Bibliographic record
Abstract
This dissertation project explored the privileging of knowledge production in science and technology as a Canadian national economic, political and social strategy. The project incorporated the relationship between nation-state knowledge production and how that knowledge is then systematically evaluated, prioritized and validated by systems of health technology assessment (HTA). The entry point into the analysis and this dissertation project was the Scientific Research and Experimental Design (SR&ED) federal tax incentive program as the cornerstone of science and technology knowledge production in Canada. The method of inquiry and analysis examined the submission documents submitted by key stakeholders across the country, representing public, private and academic standpoints, during the public consultation process conducted from 2007 to 2008 and how each of these standpoints is hooked into the public policy interests and institutional structures that produce knowledge in science and technology. Key public meetings, including the public information sessions facilitated by the Canada Revenue Agency and private industry conferences, provided context and guidance regarding the current pervasive public and policy interests that direct and drive the policy debates. Finally, the “Innovation Canada: A Call to Action Review of Federal Support to Research and Development: Expert Panel Report,” commonly referred to as “The Jenkins Report” (Jenkins et al., 2011), was critically evaluated as the expected predictor of future public policy changes associated with the SR&ED program and the future implications for the production of knowledge in science and technology. The method of inquiry and analytical lens was a materialist approach that drew on the inspiring frameworks of such scholars as Dorothy Smith, Michel Foucault, Kaushik Sunder Rajan, Melinda Cooper, and, Gilles Deleuze. Ultimately, I strove to illuminate the normalizing force and power of knowledge production in science and technology, and the disciplines and structures that encompass it and are hooked into it where the privileging of such knowledge becomes hegemonic within and by the regimes of knowledge production that created them.
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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".