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Record W6944048366 · doi:10.17863/cam.59602

Chapter 7 - Cultural landscapes from 2000 BC onwards (Temple landscapes Fragility, change and resilience of Holocene environments in the Maltese Islands)

2020· book-chapter· en· W6944048366 on OpenAlexfundno aff

Bibliographic record

VenueOAR@UM (University of Malta) · 2020
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
FundersMagdalene College, University of CambridgeQueen's University BelfastEuropean CommissionQueen's UniversityUniversity of Cambridge
KeywordsDemiseAbandonment (legal)Bronze AgeCultural landscapePeriod (music)Psychological resilienceTransition (genetics)HoloceneMaltese

Abstract

fetched live from OpenAlex

The transition from the Neolithic to the Bronze Age has always been a focus of considerable debate (Bonanno 1993a & b; Stoddart 1999, 141) (see Volume 2, Chapter 10), ever since the transition was recognized, most prominently by Zammit in Tarxien temple. Early debate dwelt on substantial changes in material culture and rites of death, and emphasized the abandonment silts of the Tarxien temple detected by Zammit (1930, 45–7; Evans 1971, 149–51). These data, interpreted in a cultural historical framework, suggested that not only was there radical change in the population, but a substantial period of abandonment (Trump 1961a & b, 303; Evans 1971, 224). As more stratigraphies began to be investigated at Skorba, Xagħra Brochtorff Circle and Tas-Silġ in the second half of the twentieth century, distinct relationships between the two succeeding societies were suggested, as outlined in the previous Chapter 6. What is becoming clearer is that the so-called Bronze Age transition emerged in the final centuries of the third millennium bc, evolved, albeit in punctuated and uneven steps through to its demise at the start of the first millennium bc and lasted a remarkable 1200 years or so. It remains a complex and still poorly understood episode of distinctive ceramics, monuments and landscapes that deserves better understanding and chronological refinement, through fresh problem oriented fieldwork similar to the FRAGSUS Project. [excerpt]

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.003

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 head0.036
GPT teacher head0.195
Teacher spread0.158 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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