Bibliographic record
Abstract
“Bubble” is the excessive growth of the fictitious capital in brief. “The real estate bubble” is one kind of the bubble, and the bubble economy taking real estate as carrier. This paper begin with concept of the bubble of the real estate, analyses the reason which can arouse the real estate bubble, from psychology of investor and speculation, etc. The paper summarize kinds of danger that it will be brought to economy once real estate foam evaporate, and has put forward some effective precautionary measures at the end of the article. Key words: The real estate bubble, Forming reason, The damage, The precaution Resume: La « bulle » designe de maniere generale la croissance excessive du capital virtuel. La propriete immobiliere est une sorte de bulle, et l’economie en bulle prend pour vecteur l’immobilier. L’article present, debutant par le concept de la bulle dans l’immobilier, analyse les raisons qui provoquent la bulle de la proriete immobiliere sous les perspectives de la psychologie des investisseurs et de la speculation, etc. L’article resume toutes sortes de dangers qui seront entraines une fois la bulle evanouie, et avance finalement des precautions effectives. Mots-Cles: bulle de la propriete immobiere, raison, dommage, precaution
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".