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Record W6981757651

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2022· other· en· W6981757651 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2022
Typeother
Languageen
FieldMedicine
TopicLegal Cases and Commentary
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)Period (music)ExcavationPoliticsScholarshipRiver valleyHuman settlementTheme (computing)
DOInot available

Abstract

fetched live from OpenAlex

The broad valley of the Bradano river and its tributary the Basentello separates the Apennine mountains in Lucania from the limestone plateau of the Murge in Apulia in South East Italy. For millennia the valley has functioned both as a cultural and political divide between the two regions, and as a channel for new ideas transmitted from South to North or vice versa depending on the political and economic conditions of the time. Archaeology on the Apulian – Lucanian Border aims to explain how the pattern of settlement and land use changed in the valley over the whole period from Neolithic to Late Medieval, taking account of changing environmental conditions, and setting the changes in a broader political, social and cultural context. There are three levels of focus. The first is on the results of a field survey (1996-2006) in the Basentello valley by teams from the Universities of Alberta, Edinburgh, and Bari, directed by the authors. The second concerns the discoveries of earlier field surveys in the late 1960s and early 1970s undertaken in connection with excavations on Botromagno near Gravina in Puglia. The third is a much broader synthesis of the results of recent scholarship using archaeological, epigraphic and literary sources to reconstruct an archaeological history of the valley and the surrounding area. The creation of a vast imperial estate at Vagnari around the end of the 1st century BC and its long-lasting impact on the pattern of settlement in the area is a significant theme in the later chapters of the book.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.960
Threshold uncertainty score0.927

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.9890.841

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 head0.019
GPT teacher head0.275
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2022
Admission routes1
Has abstractyes

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