Booms, Busts, and Echoes Around the World: Demographics and the Great Acceleration
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Through scale, scope, and pace, the Great Acceleration changed the relationship between humans and Planet Earth. The combined impact of humans is fundamentally affecting biogeophysical cycles and the planet’s climate system. With the use of fossil fuels and a growing urban population, humans annually move 24-times more rock and aggregate than all the world’s rivers combined. Much of this planetary disturbance arises from building and operating infrastructure, most of which serves people living in cities. During Canada’s first 100 years as an urban nation, infrastructure was largely supported by the federal government, which initially supported most of the costs. From 1961 to 2002, the federal government’s share continued to drop from 25 to 7%, while the municipal share doubled to provide half the cost, with provinces funding the remainder. Municipalities face an increasingly difficult task in building and managing infrastructure. The climate grows more extreme (temperatures, precipitation, and winds), while urban populations fluctuate from birth-rate shifts and Canada’s emerging status as a key destination for climate migrants.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it