Bibliographic record
Abstract
Alberta has the opportunity to become an international leader in dry Geothermal applications. The province lacks the super heated aquifers commonly associated with geothermal technologies; however, so does most of the world. Creative recombination of technologies currently employed in the petroleum and traditional geothermal industries, and the employ of our local expertise, could result in a new industry for Alberta. The province’s extensive experience with deregulated electricity markets and the regulation of innovative hydrocarbon extraction techniques combine to give Alberta an edge over our possible competitors. As Alberta’s coal-fueled electricity generation plants age, it would be prudent to encourage their replacement by private investors with EGS where possible. The demand for clean baseload energy and the prevalence of dry geological formations worldwide indicates a potential for large-scale technological export. This could provide incentive to private industry to invest with Alberta to develop domestic geothermal industries. The amelioration of Alberta’s international environmental reputation would benefit both private and public spheres in the province, by opening new markets to our hydrocarbon resources-- markets that are currently problematic due to social license issues. Upon completion, Alberta could have inexpensive, long-term heat and electricity solutions. This could improve the quality of life of Albertans by decreased health care costs related to coal-generation. These costs are estimated to save the Government of Alberta upwards of $300 million per year. It could also lower utilities bills would enable low-income Albertans to rely less on government funded social services. Recommended applications include direct space heating as well as the development of commercial Engineered Geothermal Systems (EGS) by which electricity could be produced. The largest barrier to private investment is financial. Partnerships between industry and the Government of Alberta are found to be appropriate for large-scale installations, and could be as simple as loan-guarantees. Financial incentives such as long-term payoffs of initial capital investment via property taxes are suggested for the residential setting.
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 | 0.000 | 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) | 0.008 | 0.001 |
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; both teacher heads agree on what is shown here.
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".