Bibliographic record
Abstract
This study is to investigate the various functional compatibility through classification not by use, but by spatial characteristics of modern buildings. The spatial characteristics of them are classified with small or large building, opened or divided space, single or multi-layer structure, repetitive or organic building. Focused on open-singled space of these building types, this study selected the banks and public buildings, auditoriums and churches, warehouses and factories as modern architectural properties in Korea. They are almost converted to exhibition halls and taken on open characters. Most of them are free rather than straight in exhibition circulation, and needed to be careful in wall display and lighting by the high ceiling height and broad width. In the conversion to non exhibition, the banks can be converted to neighbourhood living facility, the auditoriums and warehouses to assembly and sales. Especially, the cathedrals and churches are convertible to the wide and high open space such as the social center for old people, theatre, concert hall including museum. In the conversion of open-singled space, it is necessary to sustain and emphasize the openness by spatial characteristics, showing the wooden roof truss and equipment facilities. The middle story can be reconstructed below the range of the quarter of floor area. All these things are wholly to be reused within spatial characteristics of open-singled space.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".