Bibliographic record
Abstract
Egzistencijalistička misao nastala polovicom 20. st. u književnosti ostavila je najviše traga oslanjajući se ponajprije na djela francuskih autora Jean-Paula Sartrea i Alberta Camusa. Neke od ključnih tema egzistencijalističke misli poput izoliranosti i alijenacije pojedinca, kao i preokupiranosti temom holokausta te razornih posljedica II. svjetskog rata zastupljene su u djelima kao što su Mučnina Jeana Paula Sartrea, Pad Alberta Camusa, Homo faber švicarskog autora Maxa Frischa te u romanu El túnel Ernesta Sábata. Argentinski pisac Ernesto Sábato u romanu El túnel uprizoruje problem izoliranosti pojedinca u alijeniranom svijetu bez duhovnog usidrenja. Roman nas, kroz vizuru nepouzdanog pripovjedača i za egzistencijalistički roman karakteristično pripovijedanje u prvom licu, uvodi u svijet paranoidnog i opsesivnog slikara Juana Pabla Castela koji najavljuje ubojstvo jedine žene koja je razumjela njegovo slikarstvo – Maríje Iribarne. Slika Majčinstvo koja uprizoruje detalj žene na žalu, sliku u slici, označava bezdanu strukturu, mise en abyme, koja igra ključnu ulogu u interpretaciji čitavog djela. Djelo se pritom može tumačiti i u tzv. „argentinskom ključu” koji naglašava nedostatak duhovnog usidrenja u svijetu preopterećenu materijalnim progresom, odnosno u odbacivanju i istrebljivanju autohtonog elementa Latinske Amerike potisnutog u procesu kolonizacije.
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 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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.053 | 0.010 |
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".