Reawakening perceived person organization fit and perceived person job fit: Removing obstacles organizational commitment
Bibliographic record
Abstract
This study aimed to examine and analyze the effect of Perceived Person Organization Fit and Perceived Person Job Fit on Organizational Citizenship Behavior with Organizational Commitment as an intervening variable. This research was conducted using a descriptive method in the Social Welfare Institution at Central Aceh -Takengon with sample of 42 respondents. The approach used in this research was Structural Equation Model (SEM) with Partial Least Square (PLS) analysis tool 3.0. The results showed that the Perceived Person Organization Fit (P-O Fit) and Perceived Person-Job Fit (P-J Fit) had a significant positive effect on Organizational Commitment. Perceived Person Organization Fit (P-O Fit) and Perceived Person-Job Fit (P-J Fit) had a significant positive effect on Organizational Citizenship Behavior (OCB). Organizational Commitment had a significant positive effect on Organizational Citizenship Behavior (OCB).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".