Design of an integral model to manage social interest housing construction projects with emphasis in socio-environmental variables in family compensation boxes
Bibliographic record
Abstract
At present, the construction sector has an important weight within the trade world economy, in the last decadetheconstruction has had a higher growth than otherseconomicsaspects of the nations, different countries have chosen to increase and improve their processes of housing construction.In Colombia, it has been identified that construction encourages at least 32 sectors of the economy, being one of the main actors in the economic leverage of the nation; in which resources are mobilized, jobs are usedand the level of quality of life ismoreimproved. However, social interest housing construction projects (VIS) face various problems throughout their life cycle, due to the large part that there is notspecialized model that allows the monitoring of the project in each of its stages and that consider the project as a global aspect, it is for this reason that it is proposed within this study the formulation of a model that establishes clear principles under international guidelines and that meet, among other things, the main objectives of the project without set aside socio-environmental variables, thus giving a powerful and very solid tool for project managers, generating value and knowledge for project management.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".