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Record W2549303624 · doi:10.4000/ifha.1410

SCHULZE, Winfried, Ego-Dokumente. Annäherung an den Menschen in der Geschichte

2013· article· de· W2549303624 on OpenAlexaff
Patrice Veit

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2013
Typearticle
Languagede
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsSchulze methodId, ego and super-egoPolitical scienceHumanitiesArtPhilosophyPsychoanalysisPsychologyEpistemology

Abstract

fetched live from OpenAlex

L’écriture de soi jouit depuis plusieurs années également en Allemagne d’un intérêt accru de la part des historiens, en particulier de l’époque moderne. En font foi notamment, à côté de toute une série de travaux isolés, les projets de recherches collectives en cours comme celui sur les auto-témoignages à l’époque de la Guerre de Trente Ans menés au Max-Planck-Institut für Geschichte de Göttingen et à l’Université d’Erfurt (Benigna von KRUSENSTJERN et Hans MEDICK) ou celui sur les auto-témoi...

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)0.003
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: none
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0050.007
Scholarly communication0.0050.009
Open science0.0010.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0120.003

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 head0.015
GPT teacher head0.243
Teacher spread0.228 · 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
Published2013
Admission routes1
Has abstractyes

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