Plan exportador de hamacas artesanales a Winnipeg-Canadá- por parte de Hammocks & Things /
Bibliographic record
Abstract
Para poder identificar las Razones que tiene la empresa Hammocks & things para exportar hamacas al mercado de Winnipeg será necesario aplicar un formato de entrevista al gerente y propietario de la empresa. Por otro lado, para definir la capacidad de producción y comercialización que tiene la empresa será necesario reunirnos con los artesanos productores de Hamacas y con el propietario de la empresa, identificando así, la capacidad productora de la empresa, rutas de acceso y penetración de mercado. Así mismo, para identificar las características socio- culturales y económicas del mercado de Winnipeg, analizaremos sus tendencias culturales desde el punto de vista social y económico basándonos en datos históricos del País Canadá y sus ciudades más importantes, a través de su PIB per cápita, costumbres etc. Evaluaremos las condiciones técnicas y financieras de la empresa para la exportación del producto al mercado objetivo.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".