Wrong NDN Podcast Monkey Beach interview with Director L.S. Todd
Bibliographic record
Abstract
Happy New Year! Welcome to the Special Episode: What are We Watching of The Wrong NDN Podcast! If you like what you hear be sure to subscribe to our channel and click the little bell to be sure that you are notified when the episode drops. In this episode, we Interview Loretta Sarah Todd about her new movie, Monkey Beach. MONKEY BEACH features Grace Dove, Secwepemc (THE REVENANT, HOW IT ENDS), who returns from Vancouver to her northern ocean-side village of Kitamaat. Dove's character has harrowing visions and premonitions of death. The film, adapted from the book of the same name written by award-winning author Eden Robinson, Haisla/Heiltsuk, shows Dove claiming her power after fearing her visions and the mythical creatures. Adam Beach, Saulteaux (SUICIDE SQUAD, FLAGS OF OUR FATHERS, SMOKE SIGNALS), plays Dove's uncle who nurtures her. For more information on the movie and if it will be available near you go to https://monkeybeachmovie.com/ Affiliate Links: Magic Spoon www.magicspoon.com FREE SHIPPING Promo Code :WrongNDNPodcast FNX Fit: https://fnx.grsm.io/wrongndn 15%OFF order Promo Code: wrongndn Disclosure: The links listed are affiliate links and Wrong NDN Podcast receives modest compensation for any products you purchase using the links and promo codes. Thank you for your support Email: Kenrick hail@wrongndnpodcast.com Brittany brittany@wrongndnpodcsat.com Follow Wrong NDN Podcast on Facebook, Instagram and Twitter @wrongndn Follow the hosts: Kenrick @kjescalanti Brittany @itsbrittanyschulman We truly appreciate you for listening to us, wrong ndns! Thank you! Disclaimer: Any views or opinions represented in this Podcast are solely to the Podcast Hosts and do not represent those of people, institutions or organizations that the hosts may or may not be associated with in professional or personal capacity, unless explicitly stated. Any views or opinions are not intended to malign any religion, ethnic group, club, organization, company, or individual.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.280 | 0.002 |
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".