Aboriginal Business Leaders’ Perceptions of Bioenergy Innovation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research examines the views of Aboriginal business leaders from forestry and energy firms regarding biomass energy innovation and analyzes how current perceptions influence framing of biomass industry and policy opportunities. The application of frame analysis enables new understanding of perceptions of the biomass energy sector, including preferences and expectations surrounding biomass energy innovation and growth. Accordingly, this research analyzes Aboriginal business leaders’ beliefs and attitudes used to identify perceived problems and solutions for developing biomass energy. Our approach enables points of agreement and disagreement among leaders to be compared. Twenty-three interviews with specialized informants were undertaken with forestry and energy representatives identified through the Canadian Council for Aboriginal Business natural resource industries directory. Comparisons among sectors and firms offer new understanding whether and how biomass energy is perceived by different groups, and what ameliorative measures might hold the most promise with respect to improving current understanding of biomass energy potential. Main outcomes include the advancement of knowledge concerning the nature of similarities and differences in beliefs and attitudes about biomass energy, and the production of strategies to promote renewable biomass energy awareness and opportunities.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it