Toward the “next normal”: An opportunity to unlearn and reflect about life, death, and our mental health during the pandemic
Bibliographic record
Abstract
While pondering about a way to convey a message of hope, kindness and solidarity to my anesthesiology colleagues and to all the healthcare professionals and workers in Colombia and around the world, who are in the frontlines of the COVID-19 pandemic, I realized -once again-the severe impact it has had on our mental health and our lives.In the history of our generation and probably since 1918, mankind had not experienced the deleterious effect of a pandemic of such magnitude on our lives.A disrupting event of such magnitude invites us to reflect daily.So, I remembered that we, Colombian anesthesiologists, have a fantastic leader who sets an example for many of us, and who is renowned worldwide.A global leader in innovation and the creation of the future: Professor Alejandro Jadad.He used to speak often about pandemics, but pandemics of health and joy.I met him during that period in his life.In the early 2000s, when I was a medical student who particularly enjoyed clinical trials and evidence-based medicine, it was impossible not to bump into Alejandro Jadad, in his version 1.0 as an Oxford-trained scientist and clinician, famous in the medical research world of pain medicine, end of life care, anesthesiology, eHealth and methodology of controlled experiments.His views have changed, deeply, since then.In my opinion, he reached the pinnacle of academic-scientific development, crossed their limits, and evolved.He moved forward to version 2.0., a version with an insightful interpretation and understanding of what it means to live a profound, valuable, humanistic, and philosophical life.A vision that invites us to rethink our existence and our everyday life.I believe that this second version is strongly influenced by the first.His mission is now to allow -enable -people, whether as individuals or as a group, to live healthy and happy lives, full of love and with no regrets, until our last breath, as part of a sustainable planet.Alex has been called a "human Internet", since his innovative research and innovation work are intended to bridge 'the hightouch and the high-tech' by identifying and connecting the best minds, the best knowledge, and the best tools, across traditional boundaries, to create and promote new and better approaches for humans to healing, work, love and learn.His work focuses on the creation of a pandemic of health, by harnessing the creativity motivated by high levels of uncertainty, especially in the presence of existential crises.During the COVID-19 pandemic, he was selected as one of the 20 members of the Global Public Health Leadership
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".