title: Identifying the function of recalling authentic moments

authors: Render, Jason

subjects: Autobiographical memories

abstract: Authenticity within the workplace has been widely researched as a construct in counteracting negative affect. However, less is known about ways to increase a sense of authenticity within the workplace. This study aimed to understand how a sense of authenticity is affected after recalling an autobiographical memory of an authentic moment. This study also examines how recalling moments of authenticity and inauthenticity serve the three functions of autobiographical memory: self, social and directive.
Study 1 investigated archival data of employees written narratives of recalled authentic and inauthentic moments (N = 29). Study 2 replicated the same procedure with a student sample (N = 119) and included a control group and a measure of authenticity. Results from Study 1 suggested recalling authentic moments served the self and directive function, and inauthentic moments served the directive and self-function. Study 2 partially replicated Study 1 findings, indicating authentic moments primarily served the self-function, while inauthentic moments reported no difference between functions. In line with previous research, the control condition served the social function. Recall did not result in a change in authenticity levels.
This study demonstrated recalled authentic moments enhanced a sense of identity, while recalled inauthentic moments in Study 1 provided details in becoming more authentic. Moreover, provided foundational work in developing a memory recall intervention for the workforce in creating a sense of authenticity. Future research includes investigating authentic and inauthentic moments within different contexts to measure differences in functionality and sense of authenticity.

text: Identifying the function of recalling authentic moments Authenticity within the workplace has been widely researched as a construct in counteracting negative affect. However, less is known about ways to increase a sense of authenticity within the workplace. This study aimed to understand how a sense of authenticity is affected after recalling an autobiographical memory of an authentic moment. This study also examines how recalling moments of authenticity and inauthenticity serve the three functions of autobiographical memory: self, social and directive.
Study 1 investigated archival data of employees written narratives of recalled authentic and inauthentic moments (N = 29). Study 2 replicated the same procedure with a student sample (N = 119) and included a control group and a measure of authenticity. Results from Study 1 suggested recalling authentic moments served the self and directive function, and inauthentic moments served the directive and self-function. Study 2 partially replicated Study 1 findings, indicating authentic moments primarily served the self-function, while inauthentic moments reported no difference between functions. In line with previous research, the control condition served the social function. Recall did not result in a change in authenticity levels.
This study demonstrated recalled authentic moments enhanced a sense of identity, while recalled inauthentic moments in Study 1 provided details in becoming more authentic. Moreover, provided foundational work in developing a memory recall intervention for the workforce in creating a sense of authenticity. Future research includes investigating authentic and inauthentic moments within different contexts to measure differences in functionality and sense of authenticity.

year: 2021

title: Ensembles of nested dichotomies for multi-class problems

authors: Frank, Eibe

abstract: Nested dichotomies are a standard statistical technique for tackling certain polytomous classification problems with logistic regression. They can be represented as binary trees that recursively split a multi-class classification task into a system of dichotomies and provide a statistically sound way of applying two-class learning algorithms to multi-class problems (assuming these algorithms generate class probability estimates). However, there are usually many candidate trees for a given problem and in the standard approach the choice of a particular tree is based on domain knowledge that may not be available in practice. An alternative is to treat every system of nested dichotomies as equally likely and to form an ensemble classifier based on this assumption. We show that this approach produces more accurate classifications than applying C4.5 and logistic regression directly to multi-class problems. Our results also show that ensembles of nested dichotomies produce more accurate classifiers than pairwise classification if both techniques are used with C4.5, and comparable results for logistic regression. Compared to error-correcting output codes, they are preferable if logistic regression is used, and comparable in the case of C4.5. An additional benefit is that they generate class probability estimates. Consequently they appear to be a good general-purpose method for applying binary classifiers to multi-class problems.

text: Ensembles of nested dichotomies for multi-class problems Nested dichotomies are a standard statistical technique for tackling certain polytomous classification problems with logistic regression. They can be represented as binary trees that recursively split a multi-class classification task into a system of dichotomies and provide a statistically sound way of applying two-class learning algorithms to multi-class problems (assuming these algorithms generate class probability estimates). However, there are usually many candidate trees for a given problem and in the standard approach the choice of a particular tree is based on domain knowledge that may not be available in practice. An alternative is to treat every system of nested dichotomies as equally likely and to form an ensemble classifier based on this assumption. We show that this approach produces more accurate classifications than applying C4.5 and logistic regression directly to multi-class problems. Our results also show that ensembles of nested dichotomies produce more accurate classifiers than pairwise classification if both techniques are used with C4.5, and comparable results for logistic regression. Compared to error-correcting output codes, they are preferable if logistic regression is used, and comparable in the case of C4.5. An additional benefit is that they generate class probability estimates. Consequently they appear to be a good general-purpose method for applying binary classifiers to multi-class problems.

year: 2004-07-04

title: Early French views of the Waikato and its inhabitants (1840-54)

authors: Jennings, William

abstract: This paper will investigate how the cultural background of these Frenchmen informed their descriptions of Waikato Maori and the Waikato environment. It will use the newly-published ten-volume collected correspondence of the pioneer Marists in the Pacific,the Lettres refues d'Odanie, as its principal source.

text: Early French views of the Waikato and its inhabitants (1840-54) This paper will investigate how the cultural background of these Frenchmen informed their descriptions of Waikato Maori and the Waikato environment. It will use the newly-published ten-volume collected correspondence of the pioneer Marists in the Pacific,the Lettres refues d'Odanie, as its principal source.

year: 2011