Nature, Conditions, and Legal Effects of Pre-Sale of Real Estate in Iranian and Canadian Law
Bibliographic record
Abstract
Modern life in the present era, in the realm of contracts—as in many other fields—has led to numerous and complex phenomena. One manifestation of this is the phenomenon of construction and the pre-sale contracts associated with it. The sale of buildings, real estate, and apartment units before construction is one of the common challenges in today’s society, which depends on pre-sale or pre-construction contracts. The lengthy duration of construction projects and price fluctuations of building materials, particularly in light of current economic conditions, are among the major reasons for the expansion of pre-sale contracts in both Iran and Canada. This study, conducted using a descriptive-analytical method, aims to examine and identify the nature, conditions, and legal effects of pre-sale or pre-construction real estate contracts in Iranian and Canadian law. One of the findings of this research is that a pre-sale construction (real estate) contract, despite the absence of a sale at the time of its conclusion, can be considered equivalent to a sale. Compliance with the general conditions of transactions—namely, the intent and consent of the parties, their qualifications, the subject matter of the transaction, and the legality of the transaction—is essential.
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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 | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".