Suchergebnisse

A step-by-step guide to creating a performance management solution tailored to your organization's needs and goals in order to meet the three objectives of great performance management: developing your people, rewarding them equitably, and driving your organization's performance.

Blacks comprise about 13% of the national population but hold less than 1.5% of all elective offices nationwide. Black individuals and organisations were at the forefront in moving housing onto the national agenda during the civil rights movement of the 1960s. Considers the role of local actors in 3 cases of fair housing policy in Cleveland and Ohio. (SJK)

AbstractThe current study tested the honing framework, which posits that people in same‐, versus different‐, sex couples may reduce their social networks to primarily include members perceived as supportive, facilitating more satisfying social interactions and enjoying more positive affect. The honing framework also predicts similarities among people in same‐ and different‐sex couples, including quantity of social interactions, and social interaction links to well‐being. Seventy‐eight couples participated: 25 women with women, 19 men with men, and 34 different‐sex couples. Over two weekends, both partners wore the Electronically Activated Recorder, a device that records audible, naturally‐occurring social interactions. Additionally, each partner completed well‐being questionnaires. Actor‐partner interdependence models mostly supported the honing framework, revealing similarities among same‐ and different‐sex couples, including the quantity of social interactions, as well as interaction quantity links to well‐being. The data also revealed a novel, unpredicted component of the honing framework: people in same‐sex couples tended to have more one‐on‐one and fewer group interactions compared to people in different‐sex couples. This lends support to and further develops the honing framework, revealing that people in same‐sex couples manage to hone their social networks to close, supportive members with whom they have one‐on‐one, satisfying interactions.

OBJECTIVE: Although research has examined associations between socioeconomic status (SES), gender, and acute and chronic life stressors in depression, most studies have been conducted in WEIRD (Western, Educated, Industrialized, Rich, Democratic) populations. METHOD: We addressed this issue by interviewing 65 adults (55 women, M(age) = 37) living in Madagascar, a typical low- and middle-income country (LMIC). RESULTS: As hypothesized, women experienced more life stressors and depressive symptoms, on average, than men, as did those from lower (vs. higher) SES backgrounds. Additionally, lifetime stress exposure was associated with greater symptoms of depression, accounting for 19% of the variability in depressive symptom levels. These effects differed for acute vs. chronic and distal vs. recent stressors. Finally, stress exposure significantly mediated the relation between SES and gender on depressive symptoms, accounting for 24.0% to 70.8% of the SES/gender-depression association depending on stressor type. CONCLUSIONS: These data extend prior research by describing how social stratification and gender relate to lifetime stress exposure and depressive symptoms in a non-WEIRD population.

To meet collective obligations towards biodiversity conservation and monitoring, it is essential that the world's governments and non-governmental organisations as well as the research community tap all possible sources of data and information, including new, fast-growing sources such as citizen science (CS), in which volunteers participate in some or all aspects of environmental assessments. Through compilation of a database on CS and community-based monitoring (CBM, a subset of CS) programs, we assess where contributions from CS and CBM are significant and where opportunities for growth exist. We use the Essential Biodiversity Variable framework to describe the range of biodiversity data needed to track progress towards global biodiversity targets, and we assess strengths and gaps in geographical and taxonomic coverage. Our results show that existing CS and CBM data particularly provide large-scale data on species distribution and population abundance, species traits such as phenology, and ecosystem function variables such as primary and secondary productivity. Only birds, Lepidoptera and plants are monitored at scale. Most CS schemes are found in Europe, North America, South Africa, India, and Australia. We then explore what can be learned from successful CS/CBM programs that would facilitate the scaling up of current efforts, how existing strengths in data coverage can be better exploited, and the strategies that could maximise the synergies between CS/CBM and other approaches for monitoring biodiversity, in particular from remote sensing. More and better targeted funding will be needed, if CS/CBM programs are to contribute further to international biodiversity monitoring.

To meet collective obligations towards biodiversity conservation and monitoring, it is essential that the world's governments and non-governmental organisations as well as the research community tap all possible sources of data and information, including new, fast-growing sources such as citizen science (CS), in which volunteers participate in some or all aspects of environmental assessments. Through compilation of a database on CS and community-based monitoring (CBM, a subset of CS) programs, we assess where contributions from CS and CBM are significant and where opportunities for growth exist. We use the Essential Biodiversity Variable framework to describe the range of biodiversity data needed to track progress towards global biodiversity targets, and we assess strengths and gaps in geographical and taxonomic coverage. Our results show that existing CS and CBM data particularly provide large-scale data on species distribution and population abundance, species traits such as phenology, and ecosystem function variables such as primary and secondary productivity. Only birds, Lepidoptera and plants are monitored at scale. Most CS schemes are found in Europe, North America, South Africa, India, and Australia. We then explore what can be learned from successful CS/CBM programs that would facilitate the scaling up of current efforts, how existing strengths in data coverage can be better exploited, and the strategies that could maximise the synergies between CS/CBM and other approaches for monitoring biodiversity, in particular from remote sensing. More and better targeted funding will be needed, if CS/CBM programs are to contribute further to international biodiversity monitoring.

To meet collective obligations towards biodiversity conservation and monitoring, it is essential that the world's governments and non-governmental organisations as well as the research community tap all possible sources of data and information, including new, fast-growing sources such as citizen science (CS), in which volunteers participate in some or all aspects of environmental assessments. Through compilation of a database on CS and community-based monitoring (CBM, a subset of CS) programs, we assess where contributions from CS and CBM are significant and where opportunities for growth exist. We use the Essential Biodiversity Variable framework to describe the range of biodiversity data needed to track progress towards global biodiversity targets, and we assess strengths and gaps in geographical and taxonomic coverage. Our results show that existing CS and CBM data particularly provide large-scale data on species distribution and population abundance, species traits such as phenology, and ecosystem function variables such as primary and secondary productivity. Only birds, Lepidoptera and plants are monitored at scale. Most CS schemes are found in Europe, North America, South Africa, India, and Australia. We then explore what can be learned from successful CS/CBM programs that would facilitate the scaling up of current efforts, how existing strengths in data coverage can be better exploited, and the strategies that could maximise the synergies between CS/CBM and other approaches for monitoring biodiversity, in particular from remote sensing. More and better targeted funding will be needed, if CS/CBM programs are to contribute further to international biodiversity monitoring.