Bibliometric Analysis of Global Research on Job Content Plateau
Why this work is in the frame
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Bibliographic record
Abstract
The participation of Job Content Plateau is gaining popularity in the business and research domains. A thorough bibliometric study was conducted using R Studio to eliminate duplicates and biblioshiny for data visualization and interpretation.. Current study's objective is to perform a comprehensive review of existing research on Job Content Plateau. In order to achieve this goal, bibliometric analysis techniques were used to examine 82 articles about Job Content Plateau that were indexed in the “Web of Science (WoS) and Scopus” between 1989 and 2024. To perform citation, co-citation, co-authorship, and co-occurrence analysis, the biblioshiny program was utilized. The analysis clarified existing research trends and potential directions for future research while identifying the top nations, organizations, writers, journals, and scholarly publications on the subject. The three leading journals in this field of Job Content Plateau are Journal of Vocational Behavior, Journal of Career Development, Group & Organization Management. Tremblay M, Allen T, Jiang Z etc., are very impactful authors. The findings show that the USA is the most productive nation, HEC Montreal is the most productive organization, Tremblay M. is the most productive author, and “The Journal of Vocational Behavior” is the most productive journal. Lastly, the discussion of contributions, limits, and future research objectives concludes.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.030 | 0.260 |
| 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