Greening the Marina : A Roadmap to Renewable Energy for the Clubhouse at Spruce Harbour Marina
Bibliographic record
Abstract
The energy industry is currently responsible for 78% of greenhouse gas emissions in Canada. With the climate crisis worsening, it is crucial that carbon-intensive energy sources are transitioned to renewable and low-carbon sources to mitigate greenhouse gas emissions and prevent further climate change. This project provides the research and resources necessary to adopt renewable energy technologies for the floating clubhouse at the Spruce Harbour Marina (SHM) in Vancouver, B.C. Spruce Harbour Marina is home to the Greater Vancouver Floating Home Co-operative (GVFHC), a nonprofit live-aboard marina community in the False Creek neighbourhood. This report recommends renewable energy technologies for the GVFHC to install, based on a set of weighted decision criteria and a cost-benefit analysis which accounts for the following project objectives: To identify the most viable renewable energy technologies for providing hot water heating and space heating for the clubhouse at Spruce Harbour Marina. To create a feasibility report that provides sufficient information for a grant application to fund the design and implementation of the proposed energy technologies. To provide a list of steps (a “roadmap”) to decrease the energy usage and install renewable energy technologies at the Marina.
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 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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".