Bibliographic record
Abstract
New avenues of interconnectivity born from global crisis foster a return to the land and a decentralization of Earth’s population. Climate-induced northern migration sparks boundary expansion beyond our perceivable atmosphere, as human-made infrastructure grapples with the natural environment. Territories of [ex]traction fuel the lifeblood of the 21st century energy-scape. The site for this investigation is Canada’s carbon corridor, spanning from Calgary to Edmonton, Grand Prairie to the remote north. A land scarred by resource exploitation is re-envisioned in a time after oil, in the not so distant future. Territories of extraction are rejuvenated as a renewable energy corridor. A super energy grid is laid across the landscape, linking major urban nodes by coupling the natural environment with infrastructure. Field’s within the super grid are dedicated to agricultural production, pollination, and wildlife incubators. These feed natural ecosystems while simultaneously fueling a network of high-speed trains that extend to the arctic circle, where new trade routes open up due to receding ice and warming climates. A continuous mixed-use bridge structure links people to major hubs as a path for production. Human life is elevated so wildlife may roam freely on the land—reducing harmful impacts to natural ecosystems. Pipelines become long range carbon sequestering systems that distribute green energy to cities, landscapes, wildlife, and insects. Energy beacons are sprinkled across the land to assist birds with natural migration patterns while also acting as habitats for bees. This proposal supports humans, wildlife, and insects through closed-loop systems of energy production that equally prioritizes all living organisms through harvesting of natural resources with minimal environmental impacts and an appreciation for the land. Born from a deep respect for the Earth’s natural resources and the cyclical nature of the environment, this proposal sparks a return to the organic. All organisms of the earth are part of a necessary ecosystem that may be deemed one wholistic being. Designers have an obligation to consider systems for wildlife that empower us to reframe what it means to be a living organism. A colony collapse for the bees means a doomed future for humans. So please, save the bees.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.077 | 0.012 |
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".