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Record W4388161711 · doi:10.21463/shima.199

Lagoon Wanderings: Boat hydro-perspectivism in the aquapelagic assemblage of the Venetian Lagoon

2023· article· en· W4388161711 on OpenAlexaboutno aff

Bibliographic record

VenueShima · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsPerspectivismShoreAssemblage (archaeology)LandfallTourismGeographyArchaeologyOceanographyGeologyEpistemology

Abstract

fetched live from OpenAlex

In this article I conduct the reader along a journey that follows different waterways within the Venetian lagoon and provides insights into the water-land interactions of this unique aquapelagic assemblage. Leveraging the methodological tool of hydro-perspectivism, I situate the analytical standpoint within two very different kinds of boat: the vaporetto (a local waterbus) and the kayak. The first, native to the lagoon, gives voice to a sample of the massive population of tourists that constantly crowds the lagoon’s islands and waters. Navigating the congested waterways leading from the Lido littoral to Venice’s historical centre, I raise issues such as over-tourism, water quality, and wave motion. Shifting the perspective to the kayak, a type of boat that originates in Inuit culture and is perfectly suited to the lagoon's shallow waters, the article then investigates the potentialities of analysing from the water’s edge, considering other serious problems of the Venetian aquapelago, such as pollution and hydro-morphological alterations. In conclusion, I argue that by conceiving the boat as not only as a means of transport but also as a means of acquiring and formulating knowledge, it is possible to revitalise hydrophilic feelings and thus the precious aquapelagic identity of Venice’s lagoon that has been in decline over the last century.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.026
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.224
Teacher spread0.197 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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