Bibliographic record
Abstract
Modern lifestyle is hard to imagine without the hustle and bustle that takes place in shopping malls that have become part and parcel of the economic and social life of every modern global citizen. Shopping malls are on the increase in major cities with Jordan being a hub for competitors in the mall industry. Hence, there is a growing need to understand consumers’ perceptions, dispositions and preferences as to the mall image nowadays. The purpose of this research is to determine the effect and significance of entertainment on the mall industry in Jordan. The data were conducted by structured questionnaire from 450 shoppers who visit the five largest malls, namely, AL-Mukhtar, Sameh, Arabella, Irbid, and AL-Safeway in Irbid as the biggest and high density city in the north territory of Jordan. The results of study showed that the age group less than 25 years of shoppers ranked first in patronage of the shopping malls mainly for reasons related to leisure, fun and entertainment. The study concludes by emphasizing the need for huge entertainment facilities, such as, family entertainment centers, cinema, gym, bowling alley, billiard hall and video games.
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".