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Record W4238684945 · doi:10.4000/ifha.8144

Christina Gerstenmayer, Spitzbuben und Erzbösewichter. Räuberbanden in Sachsen zwischen Strafverfolgung und medialer Repräsentation

2014· article· de· W4238684945 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2014
Typearticle
Languagede
FieldSocial Sciences
TopicCriminal Law and Policy
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Grâce à la richesse de ses archives et à la remarquable activité de sa recherche locale, la Saxe peut être considérée aujourd’hui comme l’un des territoires allemands les mieux étudiés en matière d’histoire sociale de la criminalité et de la justice pénale. Même si le présent ouvrage est issu d’un contexte quelque peu différent – celui du Sonderforschungsbereich 600 « altérité et pauvreté » à l’université de Trèves où a été soutenue en 2011 la thèse dont il est issu – il vient corroborer nos ...

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.925
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.286
Teacher spread0.269 · 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