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Enregistrement W4379532900 · doi:10.1353/hub.2009.a362943

Demography and Archaeology

2009· article· en· W4379532900 sur OpenAlexaff
Colin Renfrew

Notice bibliographique

RevueHuman Biology · 2009
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueInsurance, Mortality, Demography, Risk Management
Établissements canadiensArthur B. McDonald-Canadian Astroparticle Physics Research Institute
Organismes subventionnairesnon disponible
Mots-clésPopulationAgricultural revolutionPrehistorySettlement (finance)HistoryArchaeologyPrehistoric archaeologyArchaeological theoryHistorical demographyPopulation growthHistorical archaeologyGeographySociologyAnthropologyEthnologyDemographyAgricultureResearch methodology

Résumé

récupéré en direct d'OpenAlex

Demography and Archaeology Colin Renfrew Keywords Demography, Population Density, Agent-Based Models, Historical Linguistics, Molecular Genetics In the field of archaeology, demography has sometimes seemed something of a phantom science. Many explanatory models in archaeology have taken population density as a central theme. But the quantitative precision and broad sweep of the resulting formulations, scientific enough in their intentions, have often been undermined by the difficulties in the practice of estimating population densities for the prehistoric or early historic past. Indeed, even for the Classical world, where historical and literary texts as well as inscriptions are available to supplement the settlement remains still visible on the ground, the estimation of population has been a field of controversy for more than a century (Beloch 1886). Problems of estimation have undermined those quantitative intentions of the would-be scientist. Yet despite these practical problems, the attractions of the explanations already proposed have been considerable. When Gordon Childe (1936) outlined his two great revolutions in prehistory—the Neolithic revolution and the urban revolution—they were formulated with explicit reference to the demographic effects of what Childe took as his prototype: the Industrial Revolution. They have been greatly influential in much further work. For instance, in Lewis Binford's "Post-Pleistocene Adaptations" (Binford 1968), one of the pioneering articles of the new archaeology of 40 years ago, population density was explicitly regarded as the key parameter. In the years that followed, influenced partly by Esther Boserup's Conditions of Agricultural Growth (Boserup 1965), many archaeologists tended to take population increase as a prime mover for changes in the cultural system. So it is no surprise that, in the present volume, Richerson, Boyd, and Bettinger take Darwin's account of his reading of Malthus's Essay on the Principle of Population (Malthus 1798) for their epigraph in a paper in which increasing population density is again seen as a key variable. More recently, broad formulations have been proposed that are explicitly quantitative. Indeed, since Ammerman and Cavalli-Sforza set out their wave of advance model for the spread of the Neolithic way of life to Europe (Ammerman and Cavalli-Sforza 1973), the coming of farming (especially to Europe) has become a locus classicus for demographic discussions in the field of archaeology. Indeed it remains so here in the papers of Shennan and Bentley, Layton, and Tehrani. [End Page 381] Click for larger view View full resolution Figure 1. The central role of population history in the overlapping fields of molecular genetics, historical linguistics, and prehistoric archaeology. The impact of molecular genetics, likewise, has brought demographic questions into clearer focus, for population history can now be recognized as the key area of overlap and interaction in the eagerly awaited (but not yet achieved) synthesis between the field of molecular genetics and the fields of prehistoric archaeology and historical linguistics (Figure 1) (see Renfrew 1992). In interpreting molecular genetic data, and in particular the bearing of current DNA data (from living populations) on our understanding of earlier system states, the application of simulation studies has been particularly important (Matsumura et al. 2008). Several papers here, including those of Steele and Bocquet-Appel and Tuffreau, recognize that agent-based simulations can now take their place along with analytical studies (for instance, using differential equations) among the most promising avenues for progress. The difficulty of producing valid and usable data for populations and population densities remains, however, a central theme in the present volume, notably in the paper by Andrew Chamberlain. An interesting approach, developed here by Felix Riede, is the use of radiocarbon dates as population proxies, a method suited to the investigation of population change, if not to the estimation of population density in absolute terms. The problem of evaluating population density recurs in Stephen Shennan's choice of the European early Neolithic for special study, for which the excellence of the data from the Aldenhovener Platte for the Danubian (LBK) early Neolithic is utilized. The same issue and data set appear again in the [End Page 382] interesting paper by Zimmermann, Hilpert, and Wendt, who confront the disturbing thought, originating with Herbert Jankuhn (1977), that the gaps on the archaeological distribution map often seen between well...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,032

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,003
Études des sciences et des technologies0,0010,017
Communication savante0,0040,007
Science ouverte0,0010,003
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0100,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,024
Tête enseignante GPT0,351
Écart entre enseignants0,327 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2009
Routes d'admission1
Résumé présentoui

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