Impact and Utility of the Alberta Narratives Project
Bibliographic record
Abstract
Alberta’s economy heavily relies on the traditional extraction of fossil fuels, which makes discussing their role in anthropogenic climate change intensely polarizing. The Alberta Narratives Project (ANP) represents the work of Alberta environmental non-government organizations to create a narrative connection between the general public, science, and policy makers. My Capstone aims to answer how effective the language and delivery of the ANP were at creating positive discussions surrounding energy, behaviour change (on the individual level), and overall environmental impact. Interviews provided the basis for an online survey of 365 individuals. Participants found their communications capacities increased and felt confident talking about climate change and energy in Alberta. However, participants also felt unsupported by their employers and facilitators, particularly with respect to follow-up. The ANP created more confident, informed climate science communicators close to the project, but to reach the public with the ANP, ENGOs need to offer more long-term support.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".