Latviskās identitātes meklējumi 20.gadsimta 90.gadu prozā
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.
Bibliographic record
Abstract
Maģistra darbs analizē latviskās identitātes meklējumus 20. gadsimta 90. gadu prozā. Padomju Savienības sabrukums 1991.gadā iezīmēja politiski un ekonomiski nedrošu periodu. Šis periods rada identitātes krīzi. Tā laika rakstnieki reflektē par latvisko identitāti, vēsturi un nākotnes perspektīvām. Maģistra darbā analizēti rakstnieku Egīla Ermansona, Alberta Bela, Gundegas Repšes un Noras Ikstenas darbi. Maģistra darbs analizē kā jautājumi par latvisko identitāti, vēstures interpretācijām un nākotnes perspektīvām atspoguļojas 20. gadsimta 90 gadu prozā.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it