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Record W4309710845 · doi:10.1017/s0008938922000310

The Sarajevo Tobacco Factory Strike of 1906: Empire and the Nature of Late Habsburg Rule in Bosnia and Herzegovina

2022· article· en· W4309710845 on OpenAlexfundno aff
Rachel Trode

Bibliographic record

VenueCentral European History · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversität WienEuropean University InstituteCentral European History Society
KeywordsUnrestFactory (object-oriented programming)Civil servantsBureaucracyInterpretation (philosophy)EmpirePolitical scienceProtectorateEconomic historyLawAncient historyHistoryPhilosophyPolitics

Abstract

fetched live from OpenAlex

Abstract In May 1906, the Habsburg protectorate of Bosnia and Herzegovina experienced an unprecedented level of labor unrest. The discussions between civil servants and workers that arose from these events, in particular those that occurred during the strike at the government-owned Sarajevo Tobacco Factory, provide a key point of departure from which to explore the character of Habsburg rule in Bosnia. This article examines how late Habsburg imperial rule functioned in Bosnia by analyzing moments of apparent bureaucratic irregularity in order to suggest a different interpretation of Habsburg administrative practice. It argues that in the case of the Sarajevo Tobacco Factory, the relationship between subjects of the Habsburg empire and its administrators was characterized by processes of debate and discussion that were in many ways grounded in concerns about fairness. This observation opens up new questions about the broader relationship between the Austro-Hungarian administration and the people it governed.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.009
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.232
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; 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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