Intellectual capital in Egyptian software firms
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
The distribution of knowledge around the world varies significantly with developed countries possessing most of the world's current intellectual capital (IC) compared to developing countries. Most IC research has been conducted in a variety of international settings such as the UK, Scandinavia, Australia, Canada, Austria, Malaysia, the USA, and Ireland. However, no empirical research has been conducted at the organizational level in the field of IC in Arab countries. These nations are socially, economically, and culturally different from most countries in the aforementioned list. This study describes the IC in Egyptian software firms. The study's objective is to contribute to the IC theory development by building a measurement system in an unique context. This paper highlights the key IC indicators as reported by Egyptian CEOs. Ultimately, the resultant report provides them with a direction for building a strong knowledge base for future IC development.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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