2023 Employment Outlook, Alzheimer's Awareness Month, and Heart Health.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
2022 was a very interesting year in the Canadian job market, record low unemployment and at the same time, labor shortages in many different sectors. So, what's the outlook for the job market in 2023? We dig into the results of a new survey on the topic, with Ahmed Borhot, Director of Workplace Solutions for \\"Manpower Recruiting\\".Age is going to catch up to all of us, nothing can stop it. But could there be hope to stop the progression of Alzheimer's Disease? We discuss the latest research with Dr. Joshua Armstrong with the \\"Alzheimer's Society of Canada\\".Finally, have you considered taking 'pre-emptive' action when it comes to maintaining a healthy heart? We learn about work being done right here in Calgary by the \\"Heart Fit Clinic\\", to give patients some insight into their own personal 'heart health'. We speak with clinic Founder, Diamond Fernandes.
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.
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 | 0.001 | 0.001 |
| 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) | 0.145 | 0.006 |
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 it