Sentence examples for professional bias from inspiring English sources

On the other hand, Brown's professional bias is, likely, among the Daily Beast's problems.

I heard versions of the same story, emphasizing the elements that most flattered the teller's ideological or professional bias.

Journalists also have a professional bias: they need good stories to make the front page and get on the air.

The "paradigm shift" in the approach to water management challenges in India suggested by the report, which are based on flawed analysis and outdated concepts, merely reflects the professional bias and wishful thinking of its members.

Perhaps this reflects professional bias, but the most interesting rookie in the early going is Ray Adam Goldbergg), a veteran newspaper reporter who is making a radical career change after having been laid off.

Africa Command's mission is to "engage" with brother armies, its commanders have a professional bias to action, and they often do not take strategic direction from civilians until they are ready to present their war, engagement and training plans, whether in Colombia or Pakistan or Uganda.

But Cline has written that journalists have a whole set of professional biases that have nothing to do with politics.

In order to search for possible personal and professional biases in detecting sexual abuse, we examined the effect of respondent characteristics on Spanish professionals' judgments on dyadic sexual activity involving a consenting minor.

nevertheless, as mentioned above: "peer review system used by many scientific journals is susceptible to the influence of personal or professional biases", still for scientific community peer reviewed article is vital for science.

In Dossa's opinion, it's the fact that consumers are getting a product made specifically for them based on statistics and data, as opposed to a stylist's potential personal or professional biases.

All researchers were conscious of their personal and professional biases, and therefore constantly reflected and debated during data collection and analysis to improve the credibility of the data.