Proyecto de Inversión: Diseño e implementación del hotel Wayrapata Lodge en 2018
Bibliographic record
Abstract
La presente investigación aborda el estudio de un Proyecto de Inversión: \nDiseño e implementación del hotel Wayrapata Lodge, en el Valle del \nColca (Cabanaconde, Arequipa – Perú). Con el estudio se busca evaluar \neconómica y financieramente la implementación del Hotel Wayrapata Lodge, donde \nse brindará hospedaje, alimentación, visitas guiadas, paseos ecuestres y trekking \nal Cañón del Colca. Con un terreno de 1,000m2, en donde se construirán 13 \nhabitaciones cómodamente equipadas, un restaurant, zonas de esparcimiento y \nhermosos paisajes dónde se podrán realizar actividades de recreación como \ncaminatas y visitas guiadas por los alrededores del distrito de Cabanaconde. \n Con la inversión de S/ 550, 294.06, y un financiamiento del 40% de la inversión, se \ndeterminó que el proyecto es rentable económicamente (VANE= S/ 455,491, TIRE= \n39.73%, PRE= 2.6 años y 6 meses) y rentable financieramente (VANF= S/ 456,357, \nTIRF= 54.13%, PRF= 2.9 años y 9 meses). Por lo que, el Hotel Wayrapa Lodge en \nel primer de incio de actividades tendrá ingresos de S/. 441, 376 anual o S/ 1,226 \ndiarios para hallar en punto de equilibrio.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.098 | 0.001 |
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; both teacher heads 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".