Advancing inclusive innovation in Canada: the impact of the IIE-Net project
Bibliographic record
Abstract
<p>Purpose - Situated in the context of entrepreneurship and innovation ecosystems, this article explores the impact of an action-oriented, collaborative research network, the Inclusive Innovation and Entrepreneurship Network (IIE-Net), aimed at advancing inclusion for entrepreneurs from equity-deserving groups by addressing barriers and enablers at the societal, organizational and individual levels. </p> <p>Design/methodology/approach - Drawing on principles of action research and a multi-level research strategy informed by gender-based analysis and critical race theory, this article reflects on the collaboration with stakeholders and the impact of the IIE-Net project to contribute to knowledge, policy and practice. </p> <p>Findings - Using a three-level inclusive ecosystem model, we explore how research and collaboration can be used to drive change in policies and practices at the societal, organizational and individual levels. </p> <p>Originality/value - This article illustrates how theory, empirical evidence and knowledge mobilization practices can be used to help shape a more inclusive innovation and entrepreneurship ecosystem. </p>
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".