The Mediating Role of Radical Innovation in the Relationship Between Knowledge Management and Competitive Advantage in Sudanese Manufacturing Firms
Bibliographic record
Abstract
Almost all the data used in the present work is based on the plates taken on a 3-m normal incidence vacuum spectrograph, at the Physics Department, St. Francis Xavier University, Antigonish, Nova Scotia, Canada. The analysis is considerably extended to complete the 5p7d, and 5p8s configurations for the first time. Arcimowicz et al had classified 88 lines of Sb II for 5p2 - (5s5p3 + 5p5d + 5p6s + 5p7s) array while presently I have identified more lines and have added two more configurations namely 5p7d, and 5p8s.The Hartree- Fock calculations with relativistic corrections using Cowan Codes for SbII to get ab- initio energy parameters used in the level fitting calculations are used.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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".