Concept

Courtier

A courtier (ˈkɔːrtiər) is a person who attends the royal court of a monarch or other royalty. The earliest historical examples of courtiers were part of the retinues of rulers. Historically the court was the centre of government as well as the official residence of the monarch, and the social and political life were often completely mixed together. Monarchs very often expected the more important nobles to spend much of the year in attendance on them at court. Not all courtiers were noble, as they included clergy, soldiers, clerks, secretaries, agents and middlemen with business at court. All those who held a court appointment could be called courtiers but not all courtiers held positions at court. Those personal favourites without business around the monarch, sometimes called the camarilla, were also considered courtiers. As social divisions became more rigid, a divide, barely present in Antiquity or the Middle Ages, opened between menial servants and other classes at court, although Alexandre Bontemps, the head valet de chambre of Louis XIV, was a late example of a "menial" who managed to establish his family in the nobility. The key commodities for a courtier were access and information, and a large court operated at many levels: many successful careers at court involved no direct contact with the monarch. The largest and most famous European court was that of the Palace of Versailles at its peak, although the Forbidden City of Beijing was even larger and more isolated from national life. Very similar features marked the courts of all very large monarchies, including in India, Topkapı Palace in Istanbul, Ancient Rome, Byzantium or the Caliphs of Baghdad or Cairo. Early medieval European courts frequently travelled from place to place following the monarch as they travelled. This was particularly the case in the early French court. But, the European nobility generally had independent power and was less controlled by the monarch until around the 18th century, which gave European court life greater complexity.

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