#262 – Why I Moved To Canada: The Journey From England & Wales, Working In Nature And Camp Tidnish, With Alex Hart
Bibliographic record
Abstract
Mike & his good friend Alex Hart talk about Alex’s move to Canada, what he likes there and the importance of his current job! In more detail, Alex talks about why he loves the nature of Canada, before explaining his decade-long journey from England to Wales to Canada, with several trips to Asia & America in-between and why he’s staying in Canada for the time being. Alex open up about his directionless in his youth, how he found ways to work in nature and how that’s culminated into his current role as Camp Director at Easter Seals’ Camp Tidnish in Nova Scotia; “the only fully accessible camp in the province” – this is the perfect conversation for any travellers, lovers of nature or people who may need help in finding a new path in life. Alex’s IG: @underthepiness ( www.instagram.com/underthepiness ) Easter Seals’ Camp Tidnish Site: https://easterseals.ns.ca/camp-tidnish Alex’s previous GCC appearances: 226 (Top 2023/4 Movies), 77 (2019 Movie Roundup), 37 (Nature), 10 (2017 Movies) 3 (Underrated Movies). If you want to support the show, get bonus content every week and get early access to episodes, support on Patreon: www.patreon.com/GenuineChitChat The last episode of GCC was part of the Clone Wars Legacy Project and prior to that, Mike spoke with Tony Holt about Invisible Man and it’s relevancy to Black America today, including code-switching and they also make Black Panther comparisons! The week before, Douglas Vincent was on, speaking about his Star Wars journey from 1977 to the Disney era and prior to that was the return of Gough of Beernuts Productions! Mike appeared on Spider-Dan & The Secret Bores for their top 5 small cast movies, listen here: https://pod.fo/e/289237 Mike also appeared on Spider-Dan’s pod with Megan, talking Princess Diana in Spencer: https://pod.fo/e/2916c6 Find all of Mike’s social media & other links at https://linktr.ee/GenuineChitChat Please review/rate, subscribe and share – it helps the show out an incredible amount!
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 teacher head, 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".