Brian Crombie Radio Hour - Epi 671 - The US Supreme Court Decision on Roe v Wade with Chitra Anand
Bibliographic record
Abstract
Tonight Tuesday 6 pm on Sauga 960 AM on the Brian Crombie Radio Hour I interview Dr. Chitra Anand about her thoughts on The US Supreme Court decision on Roe v Wade, a Women's Right to Chose and a very personal post he recently made about this topic. Dr. Chitra Anand is at the forefront of an important new movement in the workplace: intrapreneurship. Intrapreneurs are the people within your organization who possess an entrepreneurial spirit - driving innovation, creative thinking, and new ideas. Anand is an influence and social marketer who has a PhD focused on the study of intrapreneurship. Anand was Head of Public Relations, Communications, and Corporate Reputation for Microsoft Canada, Anand was Director of Marketing at TELUS Corp and has been named as a \\"bridge builder\\" for women in tech by the A-list. She has an MBA from The Kellogg School of Management and a PhD at Bradford University.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.553 | 0.003 |
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".