TO ZERO AND BEYOND: Zero Energy Residential Buildings Study. 2017 Inventory of residential projects on the path to zero in the U.S. and Canada
Bibliographic record
Abstract
Zero (net) energy (ZE, ZNE) – building something that produces enough energy onsite to meet its own needs on an annual basis – is a “sticky” idea. People grasp it, and they like it; it’s captivating and motivating. What’s the power of ZE? It evokes self-sufficiency, and for many, fairness – taking no more than their share of resources. It’s also a specific, concrete goal, not an abstraction like “green” or “energy-efficient” (as compared to what?). And it’s a major accomplishment, a satisfying outcome for one’s efforts. This year’s inventory bears out the allure of ZE, showing a growth rate in 2017 more than double that of 2016 – last year saw a 70% increase in ZE housing units, versus a 33% increase in 2016 over our baseline 2015 inventory.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".