MétaCan
Menu
Back to cohort
Record W2097755104 · doi:10.5539/enrr.v4n3p95

Urban Water Supply, Wastewater, and Stormwater Considerations in Ancient Hellas: Lessons Learned

2014· article· en· W2097755104 on OpenAlexvenueno aff
Nikοs Mamassis, Emmanuel Dialynas, Panos Defteraios

Bibliographic record

VenueEnvironment and Natural Resources Research · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWater management and technologies
Canadian institutionsnot available
Fundersnot available
KeywordsStormwaterHuman settlementWater supplyEnvironmental planningWastewaterWater resource managementScale (ratio)Hydraulic engineeringCivil engineeringEnvironmental scienceEnvironmental engineeringGeographyArchaeologyEngineeringSurface runoff

Abstract

fetched live from OpenAlex

Urban water, wastewater and stormwater management practices in ancient Hellas, from the Minoan to the Roman times are briefly reviewed. In the Prehistoric Hellas palaces and other settlements tended to be located at dry places, at a distance from rivers or lakes. During the Bronze Age decentralized water supply and wastewater and stormwater management of small-scale systems were dominant. These systems are characterized by their salient architectural and hydraulic features and perfect adaptation to the environment. On the other hand, under tyranny, cities grew significantly and the first large-scale urban water infrastructures were developed. During the periods of democracy the Hippodameian system of city planning included the public hydraulic works. This period is also characterized by significant scientific progress in the hygienic use of water in public baths and latrines. Finally, Romans used the scientific knowledge and the experience of small scale constructions of the Hellenes, to construct large scale hydraulic works using sophisticated techniques.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.004
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.050
GPT teacher head0.266
Teacher spread0.216 · 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 designObservational
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

Citations10
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueEnvironment and Natural Resources ResearchSame topicWater management and technologiesFrench-language works237,207