RACEE Energy Efficiency Implementation for Holy Cross, Alaska (Final Report)
Bibliographic record
Abstract
The Deg Hit’an Athabascan village of Holy Cross is located along the Ghost Creek Slough bank of the Yukon River. Holy Cross is home to almost 170 people who are accustomed to both the advantages and disadvantages of living off the road system - the nearest major road is some 300 miles to the east. On one hand, Holy Cross residents have greater access to practicing traditional activities like subsistence hunting and fishing. Families in the area have fished, hunted, and gathered food together for many generations and the land is imbued with this special history. But compared to Alaskans living on the road system, the residents of Holy Cross pay higher prices for basic necessities since goods are transported via air service and seasonal barge shipments. Holy Cross residents also accumulate higher energy costs, as diesel fuel is the primary fuel source for heating and lighting and costs over $6 per gallon. Affording these high living costs becomes a barrier for Holy Cross residents who want to stay in the village or participate in subsistence activities requiring transportation by boat or ATV. In 2010, the community used 674,638 kilowatt-hours (kWh) of electricity and 196,739 gallons of diesel, which equated to a combined energy use of 29,452 million British thermal units (MMBtu), about 165 MMBtu per capita. Desiring to reduce their energy consumption, Holy Cross participated in the 2015 U.S. Department of Energy’s (DOE) Remote Alaska Communities Energy Efficiency (RACEE) Competition. They and 7 other communities received financial and technical assistance to implement energy savings solutions, including heat recovery and solar PV systems, building insulation, and lighting retrofits. These measures are expected to reduce the community’s energy consumption by 15% and costs by over $50,000 annually. By 2021, the community is expected to have decreased electricity use by 100,000 kWh (15% decrease) and 10,000 gallons of diesel. Because of this reduction, the community will spend less on energy costs and is expected to save $100,000 annually. In addition to the realized energy and cost savings, the RACEE project benefitted the Holy Cross labor force. Due to the remote nature of Alaska communities like Holy Cross, jobs are difficult to come by. A majority of the Holy Cross RACEE grant work utilized local labor, providing valued employment for these residents.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.007 |
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".