Task Persistence: A Potential Mediator of the Income-Achievement Gap

Background: The pervasive gap in achievement among impoverished children has been investigated primarily in terms of parental investments, specifically parent to child speech and other forms of cognitive stimulation (e.g., toys, print materials). This research extends that literature by considering the role of a non-cognitive factor, namely task persistence, in the income-achievement gap. Using task persistence as the hypothesized mediator, duration of childhood in poverty is used to predict two educational variables - perceived academic competence and educational attainment. Although bivariate relationships between each of the variables have been demonstrated in past research, a full model linking task persistence with the income-achievement gap has not been investigated thus far. Methods: Using multiple waves of longitudinal data, duration of childhood poverty (ages 0-9) is used to predict both perceived academic competence (age 17) and educational attainment (age 23) with task persistence (average of ages 9, 13, 17) as a mediator. Results: With task persistence included in each model, the relationships between duration of childhood in poverty and both perceived academic competence and educational attainment are significantly reduced, confirming a mediational influence of task persistence. Conclusions: As hypothesized, task persistence statistically mediates the relationship between duration of childhood in poverty and educational outcomes. The implications of these findings on school success and intergenerational poverty are addressed, as well as suggestions for future research

Race Portrayals in Ghana, Kenya, and South Africa Television Advertisements

The current study examines racial portrayals in television advertisements from Ghana, Kenya, and South Africa. Whites are over-represented relative to their actual demographic presence in all three countries, and both Blacks and Whites are depicted as over-employed. In general, however, depictions are not significantly different for either race, though there is a hint that a stereotyped portrayal of Blacks as athletes and/or entertainer may be going global

Disturbance type and species life history predict mammal responses to humans

Human activity and land use change impact every landscape on Earth, driving declines in many animal species while benefiting others. Species ecological and life history traits may predict success in human- dominated landscapes such that only species with - winning- combinations of traits will persist in disturbed environments. However, this link between species traits and successful coexistence with humans remains obscured by the complexity of anthropogenic disturbances and variability among study systems. We compiled detection data for 24 mammal species from 61 populations across North America to quantify the effects of (1) the direct presence of people and (2) the human footprint (landscape modification) on mammal occurrence and activity levels. Thirty- three percent of mammal species exhibited a net negative response (i.e., reduced occurrence or activity) to increasing human presence and/or footprint across populations, whereas 58% of species were positively associated with increasing disturbance. However, apparent benefits of human presence and footprint tended to decrease or disappear at higher disturbance levels, indicative of thresholds in mammal species- capacity to tolerate disturbance or exploit human- dominated landscapes. Species ecological and life history traits were strong predictors of their responses to human footprint, with increasing footprint favoring smaller, less carnivorous, faster- reproducing species. The positive and negative effects of human presence were distributed more randomly with respect to species trait values, with apparent winners and losers across a range of body sizes and dietary guilds. Differential responses by some species to human presence and human footprint highlight the importance of considering these two forms of human disturbance separately when estimating anthropogenic impacts on wildlife. Our approach provides insights into the complex mechanisms through which human activities shape mammal communities globally, revealing the drivers of the loss of larger predators in human- modified landscapes.Human activity and land use change are driving declines in many animal species while benefiting others, but predicting which species will successfully coexist with humans remains a challenge. We compiled detection data for 24 mammal species from 61 populations across North America and showed that species life history traits were strong predictors of their responses to human footprint (landscape modification), with increasing footprint favoring smaller, less carnivorous, faster- reproducing species. Positive and negative effects of direct human presence (e.g., recreation, hunting) were distributed more randomly across species, with apparent winners and losers across a range of body sizes and dietary guilds.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/168486/1/gcb15650.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/168486/2/gcb15650_am.pd

Disturbance type and species life history predict mammal responses to humans

Human activity and land use change impact every landscape on Earth, driving declines in many animal species while benefiting others. Species ecological and life history traits may predict success in human- dominated landscapes such that only species with - winning- combinations of traits will persist in disturbed environments. However, this link between species traits and successful coexistence with humans remains obscured by the complexity of anthropogenic disturbances and variability among study systems. We compiled detection data for 24 mammal species from 61 populations across North America to quantify the effects of (1) the direct presence of people and (2) the human footprint (landscape modification) on mammal occurrence and activity levels. Thirty- three percent of mammal species exhibited a net negative response (i.e., reduced occurrence or activity) to increasing human presence and/or footprint across populations, whereas 58% of species were positively associated with increasing disturbance. However, apparent benefits of human presence and footprint tended to decrease or disappear at higher disturbance levels, indicative of thresholds in mammal species- capacity to tolerate disturbance or exploit human- dominated landscapes. Species ecological and life history traits were strong predictors of their responses to human footprint, with increasing footprint favoring smaller, less carnivorous, faster- reproducing species. The positive and negative effects of human presence were distributed more randomly with respect to species trait values, with apparent winners and losers across a range of body sizes and dietary guilds. Differential responses by some species to human presence and human footprint highlight the importance of considering these two forms of human disturbance separately when estimating anthropogenic impacts on wildlife. Our approach provides insights into the complex mechanisms through which human activities shape mammal communities globally, revealing the drivers of the loss of larger predators in human- modified landscapes.Human activity and land use change are driving declines in many animal species while benefiting others, but predicting which species will successfully coexist with humans remains a challenge. We compiled detection data for 24 mammal species from 61 populations across North America and showed that species life history traits were strong predictors of their responses to human footprint (landscape modification), with increasing footprint favoring smaller, less carnivorous, faster- reproducing species. Positive and negative effects of direct human presence (e.g., recreation, hunting) were distributed more randomly across species, with apparent winners and losers across a range of body sizes and dietary guilds.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/168486/1/gcb15650.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/168486/2/gcb15650_am.pd