Who Knows What and How? Knowledge of Health Care & Education Systems Among Hartford Parents
Bibliographic record
Abstract
Who Knows What and How? Knowledge of Health Care & Education Systems Among Hartford ParentsHealth care has always been a very important topic of discussion and debate.From nationwide Medicaid reform to privatized premium changes, it is no doubt that health is arguably the number one concern of parents for their children.Another issue that is just as equally important is Education.With the introduction of the No Child Left Behind Act, certain school systems have risen while others have declined in reputation and performance.Regardless of these factors, many parents still find the education of their children just as equally important as their health.Or do they? Research QuestionHartford is a growing city with many paradoxes.Once known as the nation's insurance capitol, we see more and more insurance agencies leaving Hartford.Also, being one of the poorest cities in the country, the education system is a failing one, with almost all public schools in the Hartford Education system labeled as failing.The new influx of Magnet schools have attempted to try to alleviate this problem, but it still persists and stronger than ever before.As stated before, health care and education are two very important issues to parents and Hartford is no exception to that statement.However, which do Hartford parents find more important?I decided to investigate what Hartford parents knew about health care and education systems to try and analyze whether they actually were more concerned about either topic.Specifically, my research question was:
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".