The Roles of Non-Monetory Benefit, Pay, Nature of Work and Recognition Towards Job Satisfaction Among Employee in Manufacturing Company in Penang
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Research indicates that desire and arousal problems are highly interrelated in women. Therefore, hypoactive sexual desire disorder (HSDD) and female sexual arousal disorder (FSAD) were removed from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), and a new diagnostic category, female sexual interest/arousal disorder (FSIAD), was created to include both arousal and desire difficulties. However, no research has tried to distinguish these problems based on psychosocial-physiological patterns to identify whether unique profiles exist. This study compared psychosocial-physiological patterns in a community sample of 84 women meeting DSM-IV (American Psychiatric Association, 2000 ) criteria for HSDD (n = 22), FSAD (n = 18), both disorders (FSAD/HSDD; n = 25), and healthy controls (n = 19). Women completed self-report measures and watched neutral and erotic films while genital arousal (GA) and subjective arousal (SA) were measured. Results indicated that GA increased equally for all groups during the erotic condition, whereas women with HSDD and FSAD/HSDD reported less SA than controls or FSAD women. Women in the clinical groups also showed lower concordance and greater impairment on psychosocial variables as compared to controls, with women with FSAD/HSDD showing lowest functioning. Results have important implications for the classification and treatment of these difficulties.
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.
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) | 0.000 | 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 it