Sentence examples for fair learned from inspiring English sources

When Simon and Garfunkel interwove the traditional "Scarborough Fair," learned from Mr. Carthy, into "Scarborough Fair/Canticle" on the album "Parsley, Sage, Rosemary and Thyme," the first grumblings arose about Mr. Simon as a cultural carpetbagger, an outsider exploiting the pop potential of local scenes.

Risks worth taking Innovators dare to fail The importance of failure as a learning opportunity was explored in greater depth in the segment that followed, 'Fail Fair: Learning from Risk-taking'.

That doesn't mean you have to act like Dora to go anywhere in life, it just means the basics, (no matter how stupid this sounds) share, be fair, learn your lessons from experience, and be polite.

At a job fair, she learned about a course that she was sure would make her more marketable to employers.

At a health fair, she learned about the retired senior volunteer program run by the Community Service Society of New York, one of the seven agencies supported by The New York Times Neediest Cases Fund.

"I imagine that the London Book Fair has learned from the Frankfurt experience and don't want to threaten the event," he said.

At its conclusion, he and his family are leaving the fair, having learned that the ride involves a ghost story told by the driver; as they depart, the poet watches the cart's "pale / brown halted speck from the highway, as if hell / were littleness, and they were being told".

While at the 1964 New York World's Fair, Sarria learned that Jimmy Moore had committed suicide.

It helps explain why you can go to a fair, see and learn things, and still feel the event didn't deliver, didn't let art be what it can be: a lever to open the mind, a proposal to alter the times.

However, there is also a more serious message: they want volunteers to practise fair trade learning.

This is perhaps one place, among many, where RAND can stand on the shoulders of giants at AI research groups like Google's DeepMind and Facebook's FAIR to learn better ways of applying machine learning models to craft policy.