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Record W7005759911

[Rezension von: Warfare and the Making of Early Medieval Italy (568–652)/ Eduardo Fabbro.- London/New York: Routledge 2020]

2023· other· en· W7005759911 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMaking-ofPeriod (music)Key (lock)
DOInot available

Abstract

fetched live from OpenAlex

When it seems that there is little left to say about the Lombards and, in general, about the Early Middle Ages because of the lack of written sources and because any possible progress must necessarily depend only on the progress of archaeological discoveries, we are confronted with the product of a new research that shows how the available sources, and their intersection with the growing availability of material evidence, can still propose almost completely new scenarios and perspectives.This is certainly the case with Eduardo Fabbro's book "Warfare and the Making of Early Medieval Italy (568-652)", which appeared in print in 2020, but which has not yet received the attention it deserves, and that for this reason can still be usefully reviewed today.Fabbro had his university education in his country of origin, Brazil, and subsequently completed his training in Canada, at the University of Toronto, teaching -also in Canada -at the universities of McGill and Waterloo.If we think of Canada, and of the University of Toronto in particular, we cannot avoid remembering how within it in recent decades there has been one of the most lively study cells on Late Antiquity and the Early Middle Ages, and for this purpose it would be enough to recall the names of Walter Goffart and Nicholas Everett, the latter one of the finest connoisseurs and exegetes of the narrative sources of Lombard Italy, 1 and the first author of some of the most discussed theories on the processes of settlement of barbarian peoples on imperial territory.2 Everett, moreover, was the supervisor of the doctoral thesis that subsequently generated the book discussed here.The author wanted to give it a title that places emphasis above all on the military events that occurred in the period between the year 568, traditionally considered that of the entry of the Lombards into Italy, and 652, the year of 1 N. Everett: Literacy in Lombard Italy, c.

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 score0.037
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.004
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0230.008

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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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
Published2023
Admission routes1
Has abstractyes

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