Bibliographic record
Abstract
Hello and Welcome to Nothing Ever Happens in Canada, but we know this is simply not true! I'm Canadian Girl thanks for joining me today. We are off to the Northwest Territories, that's right, we're off to explore the mysterious Nahanni Valley, we're going to look at the story about the McLeod brothers and their lost gold mine. We will look at how so many prospectors ever since have vanished with out a trace or turn up missing their heads. We will take a canoe trip down the river through Funeral Range and the Headless Valley. All while trying to avoid the legendary Naha warriors or a rumored Dyer wolf said to be still roaming the area, Oh and there's a supposed hidden rain forest in the great north lush in fruits and exotic plants growing year round! Join me next week as we jump in a canoe and head down the Nahanni River. I really do appreciate your comments, you can email me at CanadianGirl2319@gmail.com or contact me on social media at @nothingcanada on Instagram, Facebook and Twitter. Web Page nothingcanada.com A part of the Straight Up Strange Network, check us out! straightupstrange.com 🖖🏼👽 Podcast Recommendations Can't Make This Up History Podcast https://www.cantmakethisuppodcast.com/ Haunted Happenstance http://hauntedhappenstance.libsyn.com/--- Send in a voice message: https://anchor.fm/nothingcanada/messageSupport this podcast: https://anchor.fm/nothingcanada/support
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.237 | 0.095 |
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".