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Record W7072096768

Vantar av läder från det svenska örlogsskeppet Vasa 1628 : Arbete och materiell kultur i en maritim kontext

2023· other· en· W7072096768 on OpenAlexaboutno aff

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsClothingCraftStyle (visual arts)Quarter (Canadian coin)Parallels
DOInot available

Abstract

fetched live from OpenAlex

The collections of the Vasa Museum in Stockholm Sweden not only include the world’s only complete 17th century warship, the famous Vasa who sank on her maiden voyage outside Stockholm in the summer of 1628, but also a unique and extensive collection of dress artifacts, fragments from clothes in textile and leather recovered during the excavation of the ship. This study aims to present historical narratives about the labour, knowledge of craft and everyday life of the ship’s crew by analysing leather mittens and other types of artifacts related to the work on board as material culture, aided by early modern Dutch depictions in art showing work being done on large ships contemporary with Vasa. Two types of leather mittens in the Vasa museum’s collections have been identified as having parallels in similar mittens also from maritime context. These mittens are further investigated regarding the mystery of their making and specific traces of use. The results indicate that some of the mittens could potentially be of a particular Dutch style or origin, perhaps worn as a fashion statement among Dutch sailors. Other mittens of an unusually dark and heavy leather bear the signs of hard labour and work with scolding hot pitch and tar from caulking wooden ships. These mittens are also characterised by an economic model of cutting the leather that may connect them with the making of simple leather shoes found on Vasa, as the left-over material for one is highly suitable for the other. Both types of mittens reveal something about the sailor’s life before they enlisted on Vasa and prove that mittens could have distinct functions within the spectra of labour in a maritime context.Most importantly the results of this study suggest that the crowns attempt to force professional practitioners of craft to move from the countryside into the cities in the early 1600’s are not only connected to the development of guilds for leatherworkers in Stockholm, but also to the navy’s need for sailors and the general lack of leather in Sweden during the ongoing war. The presence of tools and material for leathercraft as a common find category among the crew's personal belongings can be regarded together with knowledge of craft culture in the countryside in the areas where boatmen were drafted can point out skinners and cobblers in the Finish coastal regions and countryside as craftsmen who both have knowledge of leathercraftneeded for making both mittens an simple shoes as found on Vasa. These groups of poor leatherworkers were among those targeted by discharges to the navy. Leather mittens interpreted as material culture are found to be consistent with the idea that individuals with a background as Finnish leatherworkers on the countryside may have ended up as sailors on the Swedish warship Vasa.

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: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.040

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 studies0.0030.003
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueKTH Publication Database DiVA (KTH Royal Institute of Technology)French-language works237,207