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Record W7024653830

Second urbanHIST Conference. Interpreting 20th Century European Urbanism

2019· article· en· W7024653830 on OpenAlexfundno aff

Bibliographic record

VenuePublication Server of Weimar Bauhaus-University (Weimar Bauhaus-University) · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMineralogy and Gemology Studies
Canadian institutionsnot available
FundersKillam Trusts
KeywordsUrbanismSketchPleasureMeaning (existential)Work (physics)Urban planningMultidisciplinary approachEuropean union
DOInot available

Abstract

fetched live from OpenAlex

We warmly welcome you to the second urbanHIST conference in Stockholm "Interpreting 20 th Century European Urbanism".It is our great pleasure to introduce the urbanHIST project and the ideas behind the conference conception as background information for the setting of the present convention.urbanHIST is a current Horizon 2020 European Joint Doctorate programme that focusses on the history of European urbanism in the 20 th century.It developed a dual leitmotiv -consisting of the concept of multidisciplinarity and the ambition to gain a pan-European perspective -that forms a common thread through the whole programme.Consequently, the composition of the urbanHIST consortium, starting with the PhD candidates, their supervisors, the advisory board and representatives of the diverse partner organizations, corresponds with these two crucial ideas.Assembled from an international mix of researchers either born or educated in one or more of about 20 different European countries, the consortium members also represent a wide range of different academic backgrounds.They work in a research field around the intersection of urban and planning history, meaning they share their fundamental interest in the same subject: the city and its planned -or unplanned -transformations over the course of the long 20 th 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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.002

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 head0.009
GPT teacher head0.159
Teacher spread0.151 · 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 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
Published2019
Admission routes1
Has abstractyes

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