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Record W7055221607

Clash of cultures? the Romano-British period in the West Midlands

2018· article· en· W7055221607 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)FrontierState (computer science)Subject (documents)Quarter (Canadian coin)Diversity (politics)
DOInot available

Abstract

fetched live from OpenAlex

"The general perception of the west midlands region in the Roman period is that it was a backwater compared to the militarised frontier zone of the north, or the south of Britain where Roman culture took root early - in cities like Colchester, London and St Albans - and lingered late at cities like Cirencester and Bath with their rich, late Roman villa culture. The west midlands region captures the transition between these two areas of the 'military' north and 'civilised' south. Where it differed, and why, are important questions in understanding the regional diversity of Roman Britain. They are addressed by this volume which details the archaeology of the Roman period for each of the modern counties of the region, written by local experts who are or have been responsible for the management and exploration of their respective counties. These are placed alongside more thematic takes on elements of Roman culture, including the Roman Army, pottery, coins and religion. Lastly, an overview is taken of the important transitional period of the fifth and sixth centuries. Each paper provides both a developed review of the existing state of knowledge and understanding of the key characteristics of the subject area and details a set of research objectives for the future, immediate and long-term, that will contribute to our evolving understanding of Roman Britain. This is the third volume in a series - The Making of the West Midlands - that explores the archaeology of the English west midlands region from the Lower Palaeolithic onwards."--Back cover

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score0.998

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)0.0030.000

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 head0.006
GPT teacher head0.262
Teacher spread0.256 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2018
Admission routes1
Has abstractyes

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