What Are The Economics, Environmental And Social Benefits Of The Implementation Of A Solar Photovoltaic (pv) System Through The Alberta Indigenous Solar Program (aisp) Within Peavine Metis Settlement?
Bibliographic record
Abstract
On October 2016, the Government of Alberta announced the introduction of the Alberta Indigenous Solar Program (AISP) as part of its Climate Leadership Plan (CLP). This study aims to identify the economic, environmental and social benefits of the implementation of an 85kW solar PV system within Peavine Metis Settlement, made possible by the AISP. Specifically, by using energy modeling, projections are developed in order to establish the financial performance indicators of the project as well as GHG emissions reduction. Social benefits to the community are established with a qualitative approach. Results show that the grant guarantees a strong financial performance of the project with a payback period of less than 7 years that would not otherwise be possible due to current Alberta electricity market conditions. Additionally, it is expected to reduce 1400 tCO2e of GHG in its lifetime and to bring basic training opportunities and temporary jobs for some members of the community during the construction.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".