Interviewcollectie Stichting Mondelinge Geschiedenis Indonesië, interview 1690
Bibliographic record
Abstract
De geïnterviewde reisde in 1946 haar man achterna naar Indië. Haar man was de eerste periode ambtenaar Binnenlands Bestuur. De geïnterviewde vertelt over haar aankomst in Indië en gaat in op haar ervaringen van het land en de mensen. Ze vertelt over de verschillende plaatsen waar ze gewoond heeft. De geïnterviewde en haar man vertrokken uiteindelijk naar Timor. Het werd uiteindelijk een grimmige situatie op Timor en haar man was veel weg. De geïnterviewde vertelt tot slot over het vertrek naar Nederland in 1956. De genoemde echtgenoot van de geïnterviewde is ook geïnterviewd voor het SMGI-project. Zie interview 1655. Zie 'Relations' voor een link naar dit interview in EASY.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.077 | 0.035 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".