The Development of a Quality of Life Research Centre in Universities in the Light of Global Models
Bibliographic record
Abstract
ABSTRACT This study aimed to explore the foundations and components of the development of the Quality of Life Research Centre (QLRC) in universities in the light of global models. The study adopts the analysis of the conceptual and organisational frameworks of QLRC and a survey to gain most important global models of QLRCs in universities. The researcher used the descriptive documentary approach and the method of the source-content analysis as they best match the objectives of the current study. The study population included QLRCs (think tanks) in universities in China, the USA, Canada, the UK and Australia. Findings revealed that it is difficult to formulate a specific definition of quality-of-life concept because this concept is linked to the cultural factors of each society, and that QLRCs are a new entrant to the development of scientific research in universities, and also that these centres enhance the knowledge of well-being for policymakers and the wider public as well as build and improve relationships between scholars and relevant stakeholders from various sectors in the society
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".