Climate change and whale watching: tourist’s perception in islas marietas, nayarit, mÉxico
Bibliographic record
Abstract
This paper reports upon data obtained from tourist perception research project related to whale-watching tourists during the 2010-2011 season near the Marietas Islands, off Puerto Vallarta, Mexico.In particular, questions about climate change and about the feasibility of compensation by the purchase of carbon bonds were asked.A total of 136 on-site tourist surveys were conducted to evaluate the perception of tourists about climate change.These were analyzed using SPSS statistical software.The perception of tourists is that they recognize that their actions negatively affect the marine ecosystem because of the greenhouse gas emissions produced during their touristic activities.It was acknowledged that this is especially the case for tourists who came from developed countries.It was also found that the studied tourists claim to be willing to change their lifestyle, in order to continue to have the opportunity to engage in activities such as whale watching.Additionally, they would support the purchase of carbon bonds in order to help conserve resources, mitigate, and adapt to climate change.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".