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Record W7053571252

Waters and Welfare: Rivers, Infrastructure, and the Territorial Imagination in Grand Ducal Tuscany, 1549–1609

2023· dissertation· en· W7053571252 on OpenAlexfundno aff

Bibliographic record

VenueDSpace@MIT (Massachusetts Institute of Technology) · 2023
Typedissertation
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaDivision of Graduate EducationMassachusetts Institute of TechnologyGraham Foundation for Advanced Studies in the Fine Arts
KeywordsTechnocracyState (computer science)PoliticsGovernment (linguistics)Work (physics)Flood mythFlood control
DOInot available

Abstract

fetched live from OpenAlex

Over the central decades of the sixteenth century, the Tuscan ducal state formed in the midst of a flood crisis. A cooling climate, excessive rainfall, and deforestation, among other meteorological and anthropogenic changes now associated with the Little Ice Age, caused rivers and streams to more frequently and violently brim over and lay waste to urban and rural property. Under dukes Cosimo I de’ Medici and his sons Francesco I and Ferdinando I, the Tuscan government founded specialized offices and appointed staffs of technicians and bureaucrats to rectify this disorderly aquatic topography. Studying the administrative and cartographic records they produced, in concert with environmental legislation, utopian development proposals, and manuscript and print treatises on architecture, engineering, and political economy, this dissertation explores the arduous practical and intellectual work of alluvial planning on the novel scale of the territorial state in the decades before alluvial hydraulics coalesced as a branch of the physical sciences. Moving from the muddy labors of architects and engineers dispatched to mitigate flooding and project alluvial laws across ducal dominions, to the grandiose ideations of a new class of technocrats who proposed ambitious schemes for transforming intractable waterways into useful systems of commercial infrastructure, this dissertation argues that the problems of water elicited novel ways of imagining territory as a design problem. For the arrayed actors engaged in ordering this space, absolutist forms of planning emerged in the sixteenth century as attractive solutions for grappling with environmental crisis and securing state welfare in an increasingly interconnected and competitive world. Beyond revealing the much earlier legacies of improvement ideologies and projects for infrastructurally-enabled capitalist circulation most often associated with Enlightenment Europe and global modernity, this research demonstrates that early political economy, as it developed in Renaissance Italy, was conceived as a fundamentally architectural enterprise. Challenging a prevailing tendency to view early modern territorial states as abstract or conceptual entities—relations of sovereignty, bundles of laws and rights crystallizing in bounded, Euclidean space—this research shows how in the crucible of the sixteenth century, states were also conceived as material creations to be physically sculpted at scale.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.451

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.022
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.005
GPT teacher head0.246
Teacher spread0.241 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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