Sentence examples for equivocal use of from inspiring English sources

Kant criticized the proof claiming that it is based on an equivocal use of the term 'nothing' (AK 1 398).

Usually they turn on equivocal use of terms such as 'composition' and 'performance', or beg the question by defining improvisation in terms of deviation from a score or variation of a limited set of 'expressive' properties.

Poincaré suspected that the logicians were actually making an equivocal use of the term logic and that they no longer sought the former kind, but rather a "new logic" containing principles of synthetic proof or formations of non-logical concept.

Never mind his equivocal use of "socialize".

A non-equivocal use of 'prediction' is therefore essential.

Of the 17 samples which tested positive, three were equivocal using ELISA and all 17 did not produce a product using PCR.

While almost everyone except Paul of Venice agreed that proper names must always be equivocal when used of two different people, not everyone wanted to say that they were univocal when used of the same person.

The consultant radiologist should decide this, at the time of checking the films with radiographers In case of equivocal findings, the use of a repeat skeletal survey, in which case the skull should be excluded as fractures of the skull do not show callus formation, after 14 days, has shown to increase sensitivity and specificity.

Use of local opinion leaders has been shown to produce equivocal results, although the use of academic detailing appears to show some promise [ 16, 19, 21- 23].

Although research findings have been equivocal as to whether the use of social networking sites (SNSs) increases experiences of online risk among children, the affordances of SNS lend support to this possibility, attracting much policy and public concern.

On the other hand, women answering the survey may have given equivocal answers to questions about use of health service related to cervical cancer screening, this potential source of error, would produce a non-differential misclassification bias resulting in an underestimation of the association between cytology coverage and cervical cancer mortality.