Bibliographic record
Abstract
The first movements of deconstruction were in America which established through the literary criticism of new strategies for interpreting literary texts.Theorists and thinkers believe that Jacques Derrida (French philosopher, born in Algeria) on a wide range had a significant impact on the fields of philosophy, architecture, art and music and These wide impacts have caused him (Derrida) to be the integral part of deconstruction theory and any study in these areas requires the "recognition of the of his thinking and perspective".These theories introduced in the late 1980s, by the American architect Peter Eisenman famous (American architect and theorist) in the form of a style of architecture to the world.The decline of modern architecture of the twentieth century provided an underlying for this style to find a prominent place and within a short time changed the Western contemporary architecture and created fundamental changes in its space.Therefore the present article by the use of bibliotheca and descriptive-analytic methods expresses the views of architects and theoreticians in this field and also aims to investigate the process of deconstruction emergence, its roots and the factors affecting it.Finally, it proposes suggestions for future researches on the impact of deconstruction on architecture of countries, especially Iran.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.944 | 0.937 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".