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Record W4405354031 · doi:10.1016/j.quaint.2024.109593

Climate frameworks for the Middle Stone Age and Later Stone Age in Northwest Africa

2024· article· en· W4405354031 on OpenAlexaff
Solène Boisard, Colin D. Wren, Lucy Timbrell, Ariane Burke

Bibliographic record

VenueQuaternary International · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMiddle Stone AgeStone AgeArchaeologyPhysical geographyLater Stone AgeGeographyGeologyCave

Abstract

fetched live from OpenAlex

This paper examines climate conditions in Northwest Africa for Marine Isotope Stage 4, 3, and 2 (71,000–11,000 years ago) and their impact on the distribution of potential suitable areas on a regional scale. The analysis uses climate simulations to model: 1) the geographical extent and variability of macro-refugia based on ethnographic data; and 2) the frequency of suitable areas based on climate ranges obtained at dated archaeological occupations. The results include the production of maps of MSA and LSA site distribution, and annual precipitation and temperature values for each dated human occupation. The macro-refugia models confirm the persistence and low variability of ecological macro-refugia along the Mediterranean coast but reveal limitations in Central Sahara. Macro-refugia models aligned closely with climate-archaeological models, except for Marine Isotope Stage 4. Despite the general spatio-temporal limitations of climate simulations, our study offers valuable data to be integrated with local environmental proxies. These climate frameworks and insights can contribute to the exploration of past human demography, connectivity and human-environment interactions across different scales of analysis.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.041
GPT teacher head0.321
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueQuaternary InternationalSame topicPleistocene-Era Hominins and ArchaeologyFrench-language works237,207