1,731,755 research outputs found
George and Mary Favero Interview
George (b. October 9, 1920) and Mary Favero (b. February 1920) talk about their Italian roots and immigration to Roslyn, Washington, in the early 1900s. They describe ethnic traditions like wine-making, lodge activity, bocce ball, holidays, and home remedies. George talks about going to work in the No. 3 Mine in 1939. He talks about the geology of the mines and comments on coal cutting machines, timbering, setting, drilling, bunkers, and other mining methods. The Faveros describe recreation and business life in Ronald, Washington, in the early twentieth century.
The cover image shows the Northwestern Improvement Company Store in Ronald, Washington, 1917. The store provided goods to mining families throughout the early twentieth century.https://digitalcommons.cwu.edu/roslyn_history/1029/thumbnail.jp
Replication Data for: Everything is Relative: How Citizens Form and Use Expectations in Evaluating Services
Replication data for Nathan Favero and Minjung Kim. Everything is Relative: How Citizens Form and Use Expectations in Evaluating Services
Replication Data for: How to Encourage “Togetherness by Keeping Apart” amid COVID-19? The Ineffectiveness of Information Cues Appealing to Prosocial Motivation and Empathy
Replication data for Nathan Favero and Mogens Jin Pedersen. 2020. How to Encourage ‘Togetherness by Keeping Apart’ Amid COVID-19? The Ineffectiveness of Prosocial and Empathy Appeals. Journal of Behavioral Public Administration 3 (2). https://doi.org/10.30636/jbpa.32.167
Replication Data for: Social distancing during the COVID-19 pandemic: Who are the present and future non-compliers?
For complete survey materials, see https://doi.org/10.7910/DVN/1LIIDV
Article citation:
Mogens Jin Pedersen and Nathan Favero. Forthcoming. ``Social distancing during the COVID-19 pandemic: Who are the present and future non-compliers?'' Public Administration Review. https://doi.org/10.1111/puar.13240</a
Replication Data for: Which Job Attributes Attract Individuals High in Public Service Motivation and Self-Efficacy to a Public Service Job?
Replication files: Nathan Favero, Mogens Jin Pedersen, and Joohyung Park. Forthcoming. ``Which Job Attributes Attract Individuals High in Public Service Motivation and Self-Efficacy to a Public Service Job?'' Public Administration.
For further information on data processing and complete survey materials, see https://doi.org/10.7910/DVN/NSHT68</a
Prácticas nacionalistas cotidianas: los jóvenes del "Pequeño Mundo". Mar del Plata, años sesenta
Este trabajo tiene por objetivo analizar desde un espacio micro, pero heterogéneo, las particularidades culturales y sociales de un sector juvenil marplatense vinculado a la Iglesia católica. El Oratorio Juvenil “Pequeño Mundo”, perteneciente a la Obra Don Orione de Mar del Plata, nació un 13 de mayo de 1961 bajo la guía del padre Pablo Marinacci y tuvo como lema “Una juventud mejor por un mundo mejor”...Fil: Favero, Bettina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Humanidades y Ciencias Sociales. Universidad Nacional de Mar del Plata. Instituto de Humanidades y Ciencias Sociales; Argentin
Replication Data for: Pay-for-Performance, Job Attraction, and the Prospects of Bureaucratic Representation in Public Organizations: Evidence from a Conjoint Experiment
Replication files and open materials for: Pedersen, M. J., Favero, N., & Park, J. (2023). Pay-for-performance, job attraction, and the prospects of bureaucratic representation in public organizations: evidence from a conjoint experiment. Public Management Review. https://doi.org/10.1080/14719037.2023.2245841</a
Calibration (Cap. 8)
An introduction to the theory of calibration and its practical applicatio
AT-hook transcription factors restrict petiole growth by antagonizing PIFs. Favero et al.
Data used to generate figures in the manuscript, excluding RNA-seq and ChIP-seq data, which can instead be downloaded from Gene Expression Omnibus: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE122456
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