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Record W7129027788 · doi:10.59195/lp.2022.69-239

Die Mitglieder der Maśica Serbska, ihre soziale Herkunft und ihr Verhältnis zur Gesellschaft in der Oberlausitz

2022· article· W7129027788 on OpenAlexaboutno aff
Martina Noack

Bibliographic record

VenueLětopis – Zeitschrift für Sorabistik und vergleichende Minderheitenforschung · 2022
Typearticle
Language
FieldSocial Sciences
TopicCentral European national history
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Weimar RepublicPeriod (music)Social lifeRose (mathematics)

Abstract

fetched live from OpenAlex

The Members of the Maśica Serbska, their Social Origins and their Relations with Society in Upper Lusatia The Maśica Serbska, which was founded in 1880, achieved its largest number of 266 members towards the end of its first decade of existence. Afterwards, the numbers declined continuously up to its prohibition in 1937. Since its refoundation in 1993 it has registered a little more than 20 members. The proportion of Lower Sorbian scholars rose significantly from a quarter to roughly 40 percent over the first three decades. The number of farmers, however, went down steeply, starting from way over a half, then going down to around 20 percent. The proportion of women rose only in the first decades, but, on the other hand, it was only in the Weimar Republic that a woman was entrusted with a leadership role. Up to the turn of the century more than three-quarters of all members came from the Cottbus district, particularly from the parishes of Briesen, Cottbus, Papitz, Werben, and Vetschau. The church superintendent district of Cottbus had the most members with its fifteen parishes. Then came the church districts of Senftenberg and Calau, each containing two parishes, as well as the church district of Spremberg with one parish.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

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 studies0.0040.004
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.021
GPT teacher head0.314
Teacher spread0.292 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueLětopis – Zeitschrift für Sorabistik und vergleichende MinderheitenforschungSame topicCentral European national historyFrench-language works237,207