COMPARATIVE ANALYSIS OF TECHNOLOGY AND STRATEGIC WINE MARKETBETWEEN CHILE AND CANADA
Bibliographic record
Abstract
The present investigation has for general objective to realize a descriptive and quantitative analysis of the exportation of Chilean wines towards Canada under the Free Trade Agreement (FTA) between Chile and Canada, throughout two ways. First. A descriptive analysis of the wine industries in Chile and Canada, of the technologies used for yield, management and trade of the wine, and finally analysis of the Chilean exportation strategies under the FTA Chile - Canada throughout diverse bibliographical sources. Second. A quantitative analysis of four specific investigation objectives: Characterization of the Chilean exporting wineries towards Canada and their products, provincial Monopolies and barriers to entry, technological level in the Chilean industry regarding the Canadian and strategies used by the Chilean wineries in Canada. This was done through a survey applied to a representative sample of Chilean exporting wineries that export wine towards Canada. Throughout both methodologies it was possible to determine that the FTA with Canada does not grant more benefits than the tributaries ones to the Chilean exporting wineries. The provincial monopolies generate barriers of entry to the Chilean exporting wineries; nevertheless they lead the market in an efficient way. The technological Chilean level is upper than the Canadian in the wine production chain. Also it was identified that a great proportion of Chilean wineries are adopting certifications recognized internationally. The strategy followed by Chile on the Canadian wine market is a good relationship between price and quality, but there is consensus that is needed to go for segments of higher quality and / or price and besides generate a recognizable country's image all over the world.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".