Green Meetings - a factor of success for a conference and event management company?: The case of JPdL
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
In the 21st century, climate change and environmental catastrophes are a worldwide acknowl-edged problem, which requires international cooperation and effort from every individual. Therefore more and more businesses realized the urge of taking action and implemented a sus-tainability strategy into their business operations, so also the meeting and event industry. This thesis deals with the subject of environmental sustainability implemented into the meet-ing and event sector. So called “Green Meetings” are meetings, which are planned and executed in a way that causes the least negative impact on the environment. The goal of this thesis is to examine, the impact of a “Green Meeting Strategy” on the competitiveness and profitability of JPdL, a Canadian Conference and Event management company. The analysis provides the base-line for a concept developed for JPdL if they decide to implement a green meeting strategy.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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