Program-wide implementation of the Pyramid Model: Supporting fidelity at the program and classroom levels

2022 ◽  
Vol 59 ◽  
pp. 56-73
Author(s):  
Mary Louise Hemmeter ◽  
Erin Barton ◽  
Lise Fox ◽  
Christopher Vatland ◽  
Gary Henry ◽  
...  
Keyword(s):  
2015 ◽  
Vol 33 (5) ◽  
pp. 691-706 ◽  
Author(s):  
Justin Paul

Purpose – “Masstige marketing” is considered as a market penetration strategy for medium and large enterprises, particularly in foreign markets. The author redefine “masstige marketing” strategy in this paper and map the concept as a new model for brand building. Second, the author examine the effectiveness of “masstige marketing” strategy with reference to marketing mix theory (Four Ps=product, price, place and promotion). The purpose of this paper is to introduce a theoretical model to help the companies to implement “masstige marketing” strategy. Design/methodology/approach – The author introduce a scale, called “Masstige Mean Score Scale” to measure the mass prestige value of brands. Both secondary and primary data used in this study. The author collected data from 590 young women consumers living in Japan and France to measure the “masstige” value using the new scale developed. The marketing strategy of European luxury sector multinational brand LV, has also been discussed as a method. Findings – Masstige value is the best indicator of long-term brand value. In other words, higher the masstige value (MMS) of a brand, the higher the likelihood to succeed. The author also found that a brand can create mass prestige with “masstige marketing” strategy by appropriately mixing the four Ps in marketing – Product, Price, Promotion and Place in a distinct and culturally different market. Originality/value – The author develop a pyramid model and measurement scale for “masstige marketing” as a theoretical framework to stimulate further research and as a tool for practitioners for better decision making. Besides, the author posit that higher the Masstige Mean Score (MMS) of a brand, higher the likelihood that potential customers recall that as a “top of mind” brand. Lower MMS implies that the firm has to go long way in their efforts to build the brand.


2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Hai Wang ◽  
Lei Dai ◽  
Yingfeng Cai ◽  
Long Chen ◽  
Yong Zhang

Traditional salient object detection models are divided into several classes based on low-level features and contrast between pixels. In this paper, we propose a model based on a multilevel deep pyramid (MLDP), which involves fusing multiple features on different levels. Firstly, the MLDP uses the original image as the input for a VGG16 model to extract high-level features and form an initial saliency map. Next, the MLDP further extracts high-level features to form a saliency map based on a deep pyramid. Then, the MLDP obtains the salient map fused with superpixels by extracting low-level features. After that, the MLDP applies background noise filtering to the saliency map fused with superpixels in order to filter out the interference of background noise and form a saliency map based on the foreground. Lastly, the MLDP combines the saliency map fused with the superpixels with the saliency map based on the foreground, which results in the final saliency map. The MLDP is not limited to low-level features while it fuses multiple features and achieves good results when extracting salient targets. As can be seen in our experiment section, the MLDP is better than the other 7 state-of-the-art models across three different public saliency datasets. Therefore, the MLDP has superiority and wide applicability in extraction of salient targets.


2012 ◽  
Vol 21 (04) ◽  
pp. 383-403 ◽  
Author(s):  
ELENA FILATOVA

Wikipedia is used as a training corpus for many information selection tasks: summarization, question-answering, etc. The information presented in Wikipedia articles as well as the order in which this information is presented, is treated as the gold standard and is used for improving the quality of information selection systems. However, the Wikipedia articles corresponding to the same entry (person, location, event, etc.) written in different languages have substantial differences regarding what information is included in these articles. In this paper we analyze the regularities of information overlap among the articles about the same Wikipedia entry written in different languages: some information facts are covered in the Wikipedia articles in many languages, while others are covered only in a few languages. We introduce a hypothesis that the structure of this information overlap is similar to the information overlap structure (pyramid model) used in summarization evaluation, as well as the information overlap/repetition structure used to identify important information for multidocument summarization. We prove the correctness of our hypothesis by building a summarization system according to the presented information overlap hypothesis. This system summarizes English Wikipedia articles given the articles about the same Wikipedia entries written in other languages. To evaluate the quality of the created summaries, we use Amazon Mechanical Turk as the source of human subjects who can reliably judge the quality of the created text. We also compare the summaries generated according to the information overlap hypothesis against the lead line baseline which is considered to be the most reliable way to generate summaries of Wikipedia articles. The summarization experiment proves the correctness of the introduced multilingual Wikipedia information overlap hypothesis.


2013 ◽  
Vol 68 (4) ◽  
pp. 49-70 ◽  
Author(s):  
Albert Barreda ◽  
Khaldoon Nusair ◽  
Fevzi Okumus ◽  
Anil Bilgihan

2021 ◽  
pp. 725-735
Author(s):  
Yangli Jia ◽  
Zhenling Zhang ◽  
Haitao Wang ◽  
Xinyu Cao

2019 ◽  
Vol 8 (2) ◽  
pp. 72 ◽  
Author(s):  
Yi Qiang ◽  
Nico Van de Weghe

The representations of space and time are fundamental issues in GIScience. In prevalent GIS and analytical systems, time is modeled as a linear stream of real numbers and space is represented as flat layers with timestamps. Despite their dominance in GIS and information visualization, these representations are inefficient for visualizing data with complex temporal and spatial extents and the variation of data at multiple temporal and spatial scales. This article presents alternative representations that incorporate the scale dimension into time and space. The article first reviews a series of work about the triangular model (TM), which is a multi-scale temporal model. Then, it introduces the pyramid model (PM), which is the extension of the TM for spatial data, and demonstrates the utility of the PM in visualizing multi-scale spatial patterns of land cover data. Finally, it discusses the potential of integrating the TM and the PM into a unified framework for multi-scale spatio-temporal modeling. This article systematically documents the models with alternative arrangements of space and time and their applications in analyzing different types of data. Additionally, this article aims to inspire the re-thinking of organizations of space, time, and scales in the future development of GIS and analytical tools to handle the increasing quantity and complexity of spatio-temporal data.


Sign in / Sign up

Export Citation Format

Share Document