Kat Ward Ep 43 Ghostly Tales with Steve Stockton 'Sittin' In'
Bibliographic record
Abstract
Producer/Host of the wonderful Paranormal Heart Podcast, Kat Ward, stops in to tell us some of her many encounters with the uncanny. As a young girl growing up in Canada, her very first run in with the paranormal was with the Hatman! What did she find out about this repeating visitor as a child, and later as an adult? Kat has been interested in the subject of ghostly goings on all her life,and tells us a few tells of cryptids located in and around Canada. Listen as we relive on of the scariest close up and personal encounters she had as a paranormal investigator! For this episode we bring in our friend Steve Stockton and make it a fun story filled convo with all things that go bump in the night! Find Kat's Podcast on Podbean, On her youtube channel, on Darkmatter Radio, and on her Facebook page. All of Steve's books can be found on Kindle , he is also on Twitter, Facebook and on our Gatekeepers Page! FindSteve's and My book on Kindle We Arte All Children In The Wilderness of The Afterlife Book Hatman Video Kat Mentions Here!
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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.229 | 0.022 |
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".