Through Individualistic Criticisms: The Need for the Canadian Welfare System
Bibliographic record
Abstract
With the ever evolving international environment, individual stability is becoming a more pressing concern. Free trade and globalization have made the average person more interconnected and aware of people from different regions, countries and even continents. The changes from an industrial based economy to a service or information based economy, have transformed the nature of Western society. Citizens can travel more freely from one country to another, working in their specific field or taking a new job altogether. Traditional sectors have suffered with this change. The average citizen is no longer working 30-40 years at the same job. The current economic crisis in the United States has also impacted individual feelings of security. In this insecure and ever changing economic environment, one can pose the question as to whether the Canadian welfare state has become more of a problem than a solution in the new global, information-based economy. Even though the world has become even more unsecure and unstable, citizens can take comfort in knowing that their government is taking care of at least some of their pressing concerns with the social welfare state, allowing Canadians reassurance that some services will always be available for them. This research paper will argue that while the nature of the Canadian economy has changed, the welfare state is still an integral part of everyday life, giving the average Canadian a feeling of security in this turbulent time.
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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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.061 | 0.046 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".