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
Industrialization in building construction is divided into; Field method, Tilt-up method and Lift-up method depending on the applications. Tilt-up method, popular in the USA and Canada, has been developed primarily for low-rise structures such as factories, supermarkets, warehouses, churches, office buildings and town houses. Since its introduction to construction industry in the early 20th century, the Tilt-up method has been gaining acceptance through out the world. The advantages of Tilt-up over the other construction methods are; reduction of the construction period, fire prevention and cost savings. Even with these advantages, the application of Tilt-up in domestic construction industry is minimal. In this study, the wall panels for a detached house were designed and presented. Efforts were made to devide the building wall into proper sections and fabricate them in multi-layers on the building floor. Special considerations are given on panel layout to accommodate the maximum number of panels in this confined area and simplifying the erection sequences of the panels to fit the heavy lifting equipment used.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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