Bibliographic record
Abstract
A cancer diagnosis can be unpredictable and devastating. From the time of diagnosis patients and their families are under intense stress. Recognizing this and taking steps to mitigate stress along the journey can be very impactful on patients and their support systems. For many people, researching healthcare facilities beings on the internet. Depending on the health care facility, services for oncology patients vary greatly. However, not all these services may be strongly advertised on their homepage. When patients or their families are researching health care facilities, it is important to recognize the impact a homepage has on the researching experience when they are also overwhelmed with their diagnosis. This project explores the topic from the perspective of a patient newly diagnosed with cancer and homepages will be evaluated for areas that may bring comfort to patients and their families. A simple search in a search engine will elicit options and the homepages of oncology centers will be coded for: Equity, preventative care, compassion, quality medical care, and supportive services. This project focuses on comparing homepages of adult oncology centers within Portland, Oregon, USA, compared to those within Toronto, Canada to examine differences among international oncology centers. This research offers recommendations for health systems organization and health communications.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".