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Record W6991169077

Folkloras un Bībeles alūzijas Alberta Bela romānos "Saucēja balss" un "Cilvēki laivās"

2021· dissertation· lv· W6991169077 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

VenueE-resource repository of the University of Latvia (University of Latvia) · 2021
Typedissertation
Languagelv
FieldSocial Sciences
TopicEuropean Linguistics and Anthropology
Canadian institutionsnot available
Fundersnot available
KeywordsLimitingChristian ministryProspection
DOInot available

Abstract

fetched live from OpenAlex

Maģistra darbā “Folkloras un Bībeles alūzijas Alberta Bela romānos “Saucēja balss” un “Cilvēki laivās”” pētītas alūzijas, pirmkārt, kā jēdziens, kas ieņem nozīmīgu lomu 20. gadsimta otrās puses latviešu literatūrā, un, otrkārt, kā organiska Alberta Bela prozas sastāvdaļa. 20. gadsimta otrajā pusē – 1970. un 1980. gados Latvijas padomju literatūra piedzīvo nozīmīgas pārmaiņas – aktualizējas patiess indivīda un laikmeta attiecību tēlojums, tomēr cenzūras un totalitārisma ideoloģijas dēļ par to nav iespējams runāt tieši. Maģistra darbā, izmantojot semantisko analīzi, tiek pētīts, kādu lomu folkloras un Bībeles alūzijas ieņem Alberta Bela romānos “Saucēja balss” (1973) un “Cilvēki laivās” (1987), nonākot pie secinājuma, ka tās abiem tekstiem piešķir mītisku un vispārfilozofisku dimensiju, ļaujot tos interpretēt plašākās cilvēka un laika attiecību kopsakarībās.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0040.004
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.204
Teacher spread0.195 · 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