Bibliographic record
Abstract
As a subject to my bachelor's thesis I chose the sculptures and installations made by Czech artists during the period of 1980s, which were created with the aim of exterior placement, out of the traditional exhibition spaces represented by museums and galleries. The keynote of my work will be the relation and interactions between a piece of art and its surroundings as well as the concept of space itself and its overlooked qualities that art may help to reveal. I decided to focus on the exhibition known as Malostranské dvorky, which took place in Prague in 1981. The idea that has led to the organization of the exhibition and its specific circumstances will be my main interest alongside the description of the particular works of art displayed and their destiny during and after the official end of the exhibition. Furthermore, I will compare the exhibition held in the intimate and unique atmosphere of the old Prague quarter with art that was produced in the same period of time within the official state commissions for newly constructed housing estates and public buildings, such as department stores, hospitals and more. Last but not least, both phenomenons of Czech outdoor sculpture will be compared in more global context with site-specific artworks. Powered by TCPDF (www.tcpdf.org)
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".