Bibliographic record
Abstract
INTRODUCTION: Marketing the hospital image through advertising shapes the sources of information upon which the patient takes a decision to purchase the service. Advertisement is considered to be one of the marketing activities geared towards promoting the hospital’s image. The aim of this study is to explore and investigate the determinants of consumer behavior toward newspaper advertising eye-catchers for hospitals and medical care in the UAE.METHODOLOGY: A cross-sectional study design was followed using the snowball technique to select a convenient sample of the population of Sharjah, UAE. The total number of questionnaires valid for statistical analysis accounted for a 402.RESULTS: The significant adjusted odds included in the model were occupation (Administrative) = 2.1 (CI 1.1-4.5), name and brand = 0.4 (CI 0.1-0.8), clinical staff photo = 0.2 (CI 0.1-0.7), and location = 3.9 (CI 1.3-11.9). CONCLUSION: Healthcare organizations are required to further assess the feedback of their marketing plans especially newspaper advertisement budgets through the quality control activities performed at these organizations.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".