Bibliographic record
Abstract
This abstract serves to introduce a 10 minute video in which I will discuss issues pertaining to the structure of the healthcare system in Quebec. At the same time I will review the concept of community within and around that system. The relationship and interplay between the two will be explored in the hope that the viewer might find resonance and meaning, and perhaps a springboard to further reflection and conversation. Many perceive a need for change in both the organizational systems as well as in the existing cultures within healthcare institutions, both in and outside of Quebec. Yet we often feel powerless to act. I will touch upon ideas on how we can make a difference using our individual influence to bring about the changes we seek. The concepts under discussion are abstract. In the hope of creating a greater degree of tangibility, I will offer a metaphor – namely the long-term detrimental effects brought about by the disruption, and in many cases destruction, of vibrant North American communities, caused by the building of highways straight through their hearts. I will suggest that though there may have been benefits to the society as a whole arising from the building of those highways, the adverse effects extended well beyond the individual communities involved. With this metaphor in mind, I will present the argument that the current structure of healthcare in Quebec, brought into effect in 2015, has resulted in over-bureaucratization and “decommunitization”, with a consequent diminution in the presence and role of culture, ultimately representing a loss for the community at large. Unintended deleterious societal effects arising from social system restructuring, are a phenomenon not unique to healthcare, nor to Quebec. It may take years for these consequences to become manifest, by which time they may prove difficult to reverse.
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 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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.010 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.100 | 0.009 |
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".