dinushiTJ/nz_research_commons_embedding_triplets huggingface dataset:
title: Hēmi Whaanga nterviews Eci Nabalarua

authors: Whaanga, Hēmi

subjects: Development studies

abstract: Eci Nabalarua arrived from Fiji early in 2001 to take up a position at the University of Waikato. She quickly made such a positive impression on staff and students that Hemi Whaanga, Assistant Production Editor, decided to interview her to see whether he could discover the secret of her success. His conclusion: She genuinely likes people and really believes in what she’s doing.

text: Hēmi Whaanga nterviews Eci Nabalarua Eci Nabalarua arrived from Fiji early in 2001 to take up a position at the University of Waikato. She quickly made such a positive impression on staff and students that Hemi Whaanga, Assistant Production Editor, decided to interview her to see whether he could discover the secret of her success. His conclusion: She genuinely likes people and really believes in what she’s doing.

year: 2002-02

title: Employment Growth in Italian Local Labour Systems: Issues of Model Specification and Sectoral Aggregation

authors: Mameli, Francesca

subjects: economic

abstract: In this paper we construct a model to estimate local employment growth in Italian local labour markets for the period 1991-2001. The model is constructed in a similar manner to the original models of Glaeser et al. (1992), Henderson et al. (1995) and Combes (2000). Our objective is to identify the extent to which the results estimated by these types of models are themselves sensitive to the model specification. In order to do this we extend the basic models by successively incorporating new explanatory variables into the model framework. In addition, and for the first time, we also estimate these same models at two different levels of sectoral aggregation, for the same spatial structure. Our results indicate that these models are highly sensitive to sectoral aggregation and classification and our results therefore strongly support the use of highly disaggregated data.

text: Employment Growth in Italian Local Labour Systems: Issues of Model Specification and Sectoral Aggregation In this paper we construct a model to estimate local employment growth in Italian local labour markets for the period 1991-2001. The model is constructed in a similar manner to the original models of Glaeser et al. (1992), Henderson et al. (1995) and Combes (2000). Our objective is to identify the extent to which the results estimated by these types of models are themselves sensitive to the model specification. In order to do this we extend the basic models by successively incorporating new explanatory variables into the model framework. In addition, and for the first time, we also estimate these same models at two different levels of sectoral aggregation, for the same spatial structure. Our results indicate that these models are highly sensitive to sectoral aggregation and classification and our results therefore strongly support the use of highly disaggregated data.

year: 2008

title: Puna

authors: Apiata, Hāwea

abstract: Bilingual poem for issue 11 of Mayhem Literary Journal.

text: Puna Bilingual poem for issue 11 of Mayhem Literary Journal.

year: 2024-09-26