Addressing Climate Change Through Collaboration Between The Public And Private Sectors
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
Through an online survey, this research explores collaboration between Calgary's local government and energy industry to address climate change through Employee Engagement, Community Investment, and Operations Performance within Calgary. This study utilizes the Theory of Planned Behaviour and the Criteria of Control Model. The research recommends a \three-cornered" approach consisting of Calgary's energy business, local government, and residents. This study calls to engage responsible organizations in becoming agents of change; to educate residents on GHG's; and to bring the public and private sectors together on city resilience using the local government's long-term sustainability plans. There are 22 participating organizations with diverse pro les. Results show that most participants have GHG reduction strategies linked to addressing climate change. A considerable number have an \appetite" for collaboration, but a large percentage remains hesitant for unknown reasons. While the participants support Employee Engagement and Operations Performance, they show less willingness to employ Community Investment.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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