Broken Policies • Broken Communication \nCorrect Messaging in Energy Transition Policies
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 provides communication tools and techniques to assist policy makers. It uses the idea that public acceptance of a policy is parallel to consumer acceptance of a product. By doing so the research attempts to bring market knowledge to bear on public discourse around policy yields. It is through this knowledge that insight about more effective communication tools, techniques and approaches to ensure acceptance of sustainable energy transition policies is provided. The research uses two case studies to analyze the above relationships. First, it takes a closer look at the Alberta Climate Leadership plan. An adapted MLP framework is applied to the plan, with a focus on the ability of communication to assist with energy transition. A media analysis and public survey are also utilized in order to identify key barriers in the acceptance of the policy, with a focus on barriers based of language and communication. The second case study is an emersion into a global brand. Through in-depth interviews and observations, key brand strategy tools were identified. These were the importance of emotions, threat, and stories. These brand tools were applied to the policy case study and by doing so provided tools for removing policy acceptance barriers through communication.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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 it