Bibliographic record
Abstract
Purpose – The purpose of this paper is to examine the similarities and differences in the ethics and values seen within the USA, Brazil, Canada and the United Kingdom. By comparing these three countries to the USA, we can conclude the appropriate means in which to conduct business and research with any of the corresponding countries. This, in turn, will serve as a major asset to global business alike and prove to be monumental in the ways it breaks down cultural barriers to promote the sanctity of business worldwide. Design/methodology/approach – The USA, Brazil, Canada and the United Kingdom were examined extensively on each of their ethics and values to fully grasp what the literature of previous empirical research stated. Throughout the literary research, data and surveys can be found to further emphasize the value and reliability of empirical research. Through the collaboration of thoughts and the literature that was discovered, we can draw conclusions about the similarities and differences between the USA, Brazil, Canada and the United Kingdom. It is clear that among the different countries ethics, values and cultural norms come into play when partaking in business. Findings – There were many similarities and differences that lied between the different countries. Of those similarities, it was especially noticeable between the USA, Canada and the United Kingdom. This is due to the fact that these three countries have similar forms of common law governmental systems that are established and help form moral guidelines and parameters for doing business. Despite the fact that both the United Kingdom and Canada are under the rule of a Constitutional Monarchy, it is apparent that because the USA, United Kingdom and Canada have a free market economy all three operate at a similar capacity in terms of business. Originality/value – This paper is original and provides value by taking a unique review of literature and reviewing previous research on the topic. Specific suggestions for future research are offered at the end of this paper.
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 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 | 0.001 | 0.000 |
| 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 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".