Bibliographic record
Abstract
Abstract Demographic history is shaped by technological breakthroughs, such as the Neolithic Revolution beginning around 10,000 bce , and the first Industrial Revolution in the eighteenth century. Hunting and gathering peoples experienced anemic population growth; the diffusion of settled agriculture exploiting domesticated plants and animals engendered slow secular increase – albeit punctuated by dramatic reverses – in human numbers. The first and second Industrial Revolutions unleashed dramatic growth. Given the importance of understanding population dynamics, theories have flourished: notable are Malthusian theory exploring preindustrial demography, and demographic transition theory accounting for demographic developments after industrialization. Given the extant statistical record, research in demographic history implicitly differentiates between core and periphery zones. In the core, documentation being relatively satisfactory, evidence points to homeostatic Malthusian equilibriums ultimately ushering in demographic transitions, fertility often increasing prior to experiencing secular decline. In the periphery where evidence is scanty, theorists of population dynamics have struggled to apply principles applicable to the core.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".