C-Suite Unplugged: Rohit Gupta, President, Rohit Group of Companies
Bibliographic record
Abstract
When people talk about housing in Canada, it can certainly generate some anxiety. Between rising interest rates, increased demand, and a still vulnerable supply chain, the housing market is under pressure. So, what can we do to improve access and affordability? The answer may lie in the innovation and entrepreneurialism of a local real estate company in Alberta.On this episode of C-Suite Unplugged, we're talking to Rohit Gupta, President of Rohit Group of Companies, a family-owned business that has spanned countries and continents since its inception. Rohit discusses his journey to the top job, the company's rich history, how innovative partnerships are helping shape the company's growth mindset, and how he is pushing the boundaries of a traditional sector.He also discusses addressing housing affordability in Canada and the in the current housing market landscape and what he hopes to see from Alberta in the next decade, and his aspirations for his company over the next 20 years.------------About The Business Council of AlbertaThe Business Council of Alberta was founded on a simple idea: to make life better for all Albertans. We believe that business has an important role in improving society, and that when business does well, we all do well. We work with the chief executives and leading entrepreneurs of Alberta's largest enterprises to understand the big, long-term challenges that Albertans are facing and work with industry, government, and civil society to solve these problems and build shared prosperity for every person who calls Alberta home.Check out more of our recent work: https://bit.ly/3JG9ifSCheck out recent episodes of AlbertaBETTER: https://bit.ly/3bHlfFBSubscribe to our monthly newsletter: https://bit.ly/3BPxDhvFollow us on social media:Twitter: https://bit.ly/3P7pgB0Facebook: https://bit.ly/3Qx6B2JLinkedIn: https://bit.ly/3QaetHEYouTube: https://bit.ly/3QswqAV
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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.341 | 0.001 |
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".