MétaCan
Menu
Back to cohort
Record W2105707658

Över Östersjön : baltiska spår i stormaktstidens Jönköping

2010· article· sv· W2105707658 on OpenAlexaboutno aff
Claes Pettersson, Jens Heimdahl, Sead Pilav

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2010
Typearticle
Languagesv
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHoardGermanFellQuarter (Canadian coin)Economic historyPopulationImmigrationCapital (architecture)GeographyHistoryClothingAncient historyEconomyPolitical scienceArchaeologySociologyDemographyCartographyEconomics
DOInot available

Abstract

fetched live from OpenAlex

A small number of artefacts found during the excavation of a 17th century workshop and storehouse in Jonkoping, Sweden, indicates close contacts with the Baltic provinces. The finds include personal objects, originating in Riga and Curonia, as well as a hoard of coins minted in Reval, modern-day Tallinn - the capital of Estonia. Though the written sources offer no such information, it appears that people with close ties to the Swedish dukedom of Livland used this building in the late 1650s. The so-called Tyska maden (The German Meadow) quarter was an industrial section of the fortified city. Here German weavers, hired to start large-scale production of cloth in Sweden, had their workshops. However, this important textile industry fell into decline, partly because of diminishing orders from the Army, partly due to devastating floods in 1650. As a consequence, room was available for new activities. The finds lead us to interesting questions on topics such as the mobility of people and ideas in Early Modern times, how strangers were able to blend in with the local population and what ethnic markers people used to show different origins within a rapidly expanding state such as 17th century Sweden.

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 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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.030
GPT teacher head0.248
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueKTH Publication Database DiVA (KTH Royal Institute of Technology)Same topicHistorical and Archaeological StudiesFrench-language works237,207