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Record W6962285742 · doi:10.17026/dans-x5g-m92k

Getuigen Verhalen, NSB vrouwen in de oorlog, interview NS11

2009· dataset· nl· W6962285742 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDANS Data Station SSH · 2009
Typedataset
Languagenl
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsConfusionQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

<p>Oral history interview met een vrouw, geboren in de eerste helft van de jaren twintig van de twintigste eeuw in een middenstandsgezin. Ze werd op jonge leeftijd lid van de Nationale Jeugd Storm (NJS) en op 18-jarige leeftijd automatisch lid van de NSB. Binnen de NJS kreeg ze vrij snel een leidinggevende functie. In de beginjaren van de bezetting ontving ze een ereteken met Stormmeeuwafbeelding.</p><p>Direct na de bevrijding werd ze gearresteerd en geïnterneerd. Na ruim een jaar werd ze vrijgelaten. Ze is getrouwd geweest met een man die SS’er was.<br><br>De aanleiding voor het interview is het Aletta project om levensverhalen van vrouwen vast te leggen die tijdens de Tweede Wereldoorlog de kant van de bezetter kozen en/of geïnterneerd en/of gestraft zijn in het kader van de Bijzondere Rechtspleging.</p>

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0090.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.077

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 head0.108
GPT teacher head0.371
Teacher spread0.263 · 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

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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