Bibliographic record
Abstract
The results of a conference held at Harvard in 2006, the collected papers address the demographic process associated with the transition from a hunter-gatherer economy to an agricultural economy in the Neolithic.This newly identified process is characterized by a dramatic increase in birth rate and a concomitant population explosion: the sequence is known as the Neolithic Demographic Transition (henceforth, NDT) and has been detected across Europe, North America, Mesoamerica and South America.The NDT is based on mortality rates, usually from cemetery data, and the methodological innovation of a relative rather than absolute chronology, thus allowing for a more global evaluation of the phenomenon.The relative chronology is based on the local date of the transition to agriculture.In brief, the NDT was caused by an increase in sedentism which in turn had a significant impact on female fertility and an increase in food supply due to the agropastoral economy.The primary factor of demographic growth is biological reproduction that the authors contend pre-dated the emergence of farming communities.The nineteen papers are organized into four sections.Part 1 presents the demographic and economic dimensions of NDT, papers in Part 2 address settlement and village practices, Part 3 collects studies dedicated to community size and social organization, Part 4 brings the studies to a global level with discussions of population growth and health in the Neolithic.Without exception, the papers are stimulating, informative and address a myriad of topics associated with population growth, providing food for thought for historians, archaeologists and anthropologists as well as demographers.The topics discussed include the signature of the NDT in light of the local chronologies, pottery changes, diet transition, architectural innovation, storage
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".