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Record W7010159981

Holleran, Claire, Shopping in Ancient Rome. The Retail Trade in the Late Republic and the Principate, Oxford University Press, 304 p., 3 mapas, 23 ilustraciones, Oxford, 2012. ISBN: 9780199698219.

2014· article· ca· W7010159981 on OpenAlexaboutno aff

Bibliographic record

VenueDipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) · 2014
Typearticle
Languageca
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Retail trade
DOInot available

Abstract

fetched live from OpenAlex

Constitueix el nucli d'aquest volum la tesi doctoral de l'autora, dedicada a la venda al detall a la ciutat de Roma, i que va desenvolupar entre 2001 i 2005. El tema ha estat treballat amb anterioritat a les ja clàssiques obres de L. Friedländer (1862-1871), J. Carcopino (1939) o U.E. Paoli (1942). Totes aquestes obres van tractar, d'una manera o una altra, la qüestió de la distribució i la topografia comercial de Roma, però en cap no s'analitza el petit comerç d'una manera tan global com la proposada per Claire Holleran.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.003
Scholarly communication0.0040.005
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0150.003

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 head0.015
GPT teacher head0.224
Teacher spread0.209 · 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
GenreReview

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
Published2014
Admission routes1
Has abstractyes

Explore more

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