How to be a Podcast Guesting Powerhouse with Christine McAlister
Bibliographic record
Abstract
PDS #143Today, I am interviewing Christine McAlister, a business coach and author of \\"The Income Replacement Formula: 7 Simple Steps to Doing What You Love and Making SIx Figures From Anywhere\\". She is also podcast show host of \\"No One's Ever Asked Me That\\" and she has been featured on Entrepreneur on Fire and by Arianna Huffington, to name a few. Our topic is very interesting. We are going to talk about how to use \\"podcast guesting\\" as a powerful tool to leverage your business. You will also discover key points to help you become a podcast guest powerhouse. *Get the free training on how to start, scale and monetize your podcast. Go to Facebook, search for my name Luis Ryan Diaz, and shoot me a message with the word \\"training\\"*In this episode:How to be a podcast guest and still able to make this about the host and the show (...and look really good in the process)What is the simple system that Christine follows when doing a podcast guestingDiscover Christine's connection strategiesWhat are the key points to become a guest powerhouseHow to be a great guest before, during and after the interviewThe subject line that Christine uses for her podcast pitchHer program, How to be a Podcast Guest Powerhouse, with 8 really simple action pack modules to monetize those appearancesResources:https://bit.ly/podcast-guest-checklist (Podcast Guest Checklist)The Book: The Income Replacement Formula Connect with Christine McAlister:http://www.lifewithpassion.com/ (Website)https://www.facebook.com/christine.a.mcalister (Facebook)https://www.facebook.com/groups/lifewithpassionsociety/ (Free Facebook Group: Income-Replacing Entrepreneurs)http://www.lifewithpassion.com/podcast (No One's Ever Asked Me That )Connect with Luis:https://www.podcastdomination.co/ (Website)https://www.instagram.com/luisryandiaz/ (Instagram)https://www.facebook.com/groups/startscalemonetize (Facebook Group)https://www.facebook.com/luisryan4 (Facebook)
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) | 0.408 | 0.019 |
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".