Near Pandemic state of Influenza A (H1N1) virus, economic contraction (read depression) and the state of Mental Health & Addiction Services
Bibliographic record
Abstract
Family physicians are the first point of contact for anyone who wishes to access mental health or addiction services in Canada.A chronic shortage of front line family doctors in Canada and other countries around the world, however, makes it extremely hard, if not impossible, for desperate end users to seek help.During this near pandemic period of swine influenza, Mental Health and Addiction service issues are at risk of being overlooked as a genuine public health crisis intersects with mass hysteria driven by constant media coverage.The dismal state of health research, service availability and access to care in countries like Canada is embarrassing, if not inhuman.Currently, billions of dollars are being pumped into the coffers of private corporations such as banks, automobile manufacturers and investment companies.At the same time, under funded rudimentary health programs are being asked to claw back on expenditures.Thus, health care providers are essentially bearing the brunt for the poor decisions made by the private sector and their failed pursuits of ever-increasing profits.As a result, hospital budgets are being slashed, making life for the most vulnerable members of society more difficult as they attempt to obtain the most basic care.It is a shame that countries such as the United States and Canada, with their outrageous defense expenditures, are failing to secure the most basic of human rights for their citizensnamely, the right to the medical treatment.Ironically, the tiny island of Cuba produces such an excess of doctors per capita that their physicians have filled the void in the international medical community.To complicate matters further, the neglect of basic medical need also acts as an extended de facto for Mental Health and Addiction necessities, as funds gets diverted to other "urgent" administrative matters.Consequently, this could result in the further marginalizing of the already peripheralized mental health and addiction programs and services that are in existence.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".