Mitigation and Compensation of CO2 Emissions Due to International Tourism in the Island of Crete, Greece
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of the current study is to examine the possibilities of mitigating the carbon footprint of the tourism industry in Crete, Greece, to estimate its carbon intensity and additionally the cost of eliminating all tourism-related carbon emissions with compensation credits in the island. Various mitigation options in different sectors of the tourism industry in Crete, including transport to the destination, accommodation, catering and various tourist activities at the destination, have been proposed. Mitigation of carbon emissions in accommodation is easier, due to the presence of appropriate technologies, than in other tourism sectors. Various carbon offsetting schemes including the use of carbon compensation credits and forest restoration have also been investigated. Based on existing research regarding annual CO2 emissions due to the tourism industry in Crete, the area of new forest plantations required for offsetting all tourism-related carbon emissions in Crete has been calculated at 114 031 ha. The carbon intensity of the tourism industry in Crete has been estimated at 0.562 kgCO2/€ which is in the same range of values reported for other EU countries. The annual cost of eliminating all tourism-related CO2 emissions in Crete has been estimated at €20,525,580 which corresponds to 0.51% of the annual gross domestic product in the island attributed to tourism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it