Bibliographic record
Abstract
Man wants success, since the success of a person in personal, professional, and social life depends on his patterns of communication behavior, the correction of these patterns also plays an essential role in achieving success.Success is achieved in the light of man's right and easy connection with himself and others; Because people are constantly interacting with themselves and others. Man is a social being and today, with the amazing development of societies, globalization,Individuals interact with a multitude of different organizations, and this has significantly complicated the relationship of individuals with each other and with organizations and the interrelationship of organizations with each other.Despite these complexities, everyone wants easy and correct communication with each other; Because they find comfort and tranquility in its light. This article seeks to examine the role of professional ethics in business, the history of business ethics in the world, the principles and foundations of business ethics and the views of thinkers, fair and unfair business practices, ethical guidelines on commercial advertising, consumer rights and ethics In production, globalization and business ethics, social marketing and its relationship with ethics, business ethics, and intellectual property rights, definitions of moral values, fair or just trade, ethical charters, and their codification circumstance business ethics terminology, international organizations active in the field of professional ethics.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.066 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".