Meghan Scott - Music Industry Professional
Bibliographic record
Abstract
Over the past couple of decades, Meghan has worked in a variety of roles in the music industry in Canada- from artist management to festival, event and venue management. She even managed a world-famous recording studio for a time, in Vancouver. Her passions include providing spaces and stages for artists of all genres to play and creating memorable experiences for audiences through the lens of live music. As President of Music Nova Scotia, Meghan (along with the entire board and staff of MNS) advocates for the MNS membership in any and all ways that could further the careers of the talented artists and industry members in Nova Scotia. She has woven refreshing elements of empathy, acceptance and inclusion in her approach to board governance, which has positively changed the landscape of the organization's operations, community involvement, and relationships. Meghan now owns Bent Ridge Winery with her husband and business partner Glenn Dodge. In addition to managing the winery and restaurant, Meghan is also the Events & Weddings Manager for their new seasonal Events Pavilion, which will soon be home to a new live music venue in the heart of the Avon Valley, NS. Find out more @bentridgewinery@musicnovascotia
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.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.179 | 0.007 |
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; both teacher heads agree on what is shown here.
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".