MétaCan
Menu
Back to cohort
Record W4220842546 · doi:10.1017/s0963926822000013

‘Look out! Get back!’ Horse-drawn traffic and its challenges in Belgian cities in the early modern period

2022· article· en· W4220842546 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUrban History · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPeriod (music)PhysiognomyFace (sociological concept)HistoryGeographyEconomyPolitical scienceSociologyArtSocial scienceEconomics

Abstract

fetched live from OpenAlex

Abstract The horses transporting men and merchandise were key actors in urban development at the very time they placed the city's ability to organize and adapt in doubt. Cities of the southernmost Netherlands and the Principality of Liège were forced to cope with the constant challenge represented by traffic in poorly designed arteries, with a morphology inherited from the medieval period and completely ill-suited to the movement of carriages and wagons. The problem posed by traffic in Belgian cities reached a critical threshold in the seventeenth century, a period in which we observe an increase in the number of horses and harnessed teams. The complications caused by this growing surge culminated in the next century and were marked by the formation of a police force obliged to face the challenge traffic represented. Consequently, numerous urban decisions were taken, transforming both the street's ‘lifestyle’ and physiognomy.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.193
Teacher spread0.138 · 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