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Record W2926691109

Tax Administration and Compliance: Evidence from Medieval Paris

2019· preprint· en· W2926691109 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

VenueRePEc: Research Papers in Economics · 2019
Typepreprint
Languageen
FieldSocial Sciences
TopicHistorical Economic and Legal Thought
Canadian institutionsWestern University
Fundersnot available
KeywordsCompliance (psychology)RevenueUnrestTax revenueAdministration (probate law)Government (linguistics)Public economicsEconomicsAccountingBusinessEconomyPublic administrationEconomic policyPolitical scienceLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

We analyze the Parisian taille of the late 13th century - a taxation mechanism used to finance periodic major expenditures by the French Crown, including wars. Our major finding is that this system was remarkably successful along a number of dimensions, in an environment without the administrative structures used by contemporary governments. The taille's essential features were; an agreement between the king and city government to collect a fixed amount of revenue, and a collection process that made use of information about taxpayers held by their fellow artisans and/or neighbors. We show that it collected considerable sums without social unrest, with high levels of compliance, and administrative costs that were low even by modern standards. We also argue that its success may have lessons for improved tax collection and compliance in contemporary less-developed economies.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.112
GPT teacher head0.396
Teacher spread0.284 · 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