Boulevard to broken dreams, Part 1: the Polonoroeste road project in the Brazilian Amazon, and the World Bank's environmental and indigenous peoples' norms

Wade, Robert

doi:10.1590/0101-31572016v36n01a12

Cited by 11 publications

(7 citation statements)

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“…Due to the influence of UAV's photography posture, angle and distance, the gray level of white spiking target is not obvious and the contrast is not high. Through the conversion, we can enlarge the dynamic range of gray level of the image, improve the contrast of the image, highlight the details of the white peak in the image, and improve the effect of target recognition [19][20].…”

Section: ) Gray Scale Transformationmentioning

confidence: 99%

Financial Market Sequence Prediction Based on Image Processing

Liu

2024

IEEE Access

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The rapid development of image and video processing technology has a significant impact on various industries. The analysis and forecast of the financial market income can not only provide investors with investment decisions, but also can correctly formulate various economic control policies for the government. The purpose of this study is to analyze and predict the financial market returns and various indexes based on deep learning CNN neural network algorithm in image processing technology. This study uses the time series method, using the convolution pooling process in CNN to effectively capture the local correlation characteristics of financial market data, then extract the important information hidden in the time series data, draw the trend curve of this information, and combine the features through image processing technology, finally realize the prediction of the financial market time series income index. The results show that in the deep learning algorithm of this study, the highest actual value of stock price after image processing is 3374, and the highest error value is 5.176%, which is nearly 20% less than other algorithms. When N1 = 1600, 3032 sliding windows are obtained, and the Euclidean norm of this point is 0.1586. The conclusion is that the deep learning algorithm of this study is effective and accurate for the prediction of financial market series. Image processing and data analysis technology provide effective methods and make important contributions to the research of financial field.

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Section: ) Gray Scale Transformationmentioning

confidence: 99%

Financial Market Sequence Prediction Based on Image Processing

Liu

2024

IEEE Access

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“…Second, ‘mistakes’ made by IOs can have dramatic consequences, as their projects and interventions often have high stakes and existential effects on millions of people. To avoid catastrophic failures, IOs are highly dependent on criticism (for one example among many, see Wade 2016 ). For IOs in particular, criticism from within is therefore an indispensable resource.…”

Section: Internal Criticism As a Resource For Ios—but Only In Principle?mentioning

confidence: 99%

A threat rather than a resource: why voicing internal criticism is difficult in international organisations

Christian

2021

J Int Relat Dev

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Voicing criticism seems to be a difficult task for employees in international organisations (IOs), as numerous anecdotes in the literature suggest. This observation is alarming, since internal criticism is an indispensable resource for organisational learning processes. So why are IOs apparently not using this resource to its full potential? The present article is the first to provide a comprehensive answer to this question by combining insights from organisation theory with an empirical case study of the UN Secretariat. My general argument is that ‘criticism from within’ is ambivalent. It can be a resource for, but also a threat to IOs: internal criticism can endanger an IO’s external reputation as well as destabilise the organisation from within. Based on this theoretical understanding, I identify and empirically examine three specific reasons for the UN Secretariat’s weak criticism culture: (1) Criticism is suppressed due to a widespread fear of leaks resulting from external pressures. (2) Criticism is avoided as a strategy of self-protection in the face of (inevitable) failures. (3) Constructive criticism is difficult to express in settings where organisational hypocrisy is necessary.

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“…To that extent, the Bank's CPF priorities exhibit the “continuity bias” to which public bureaucracies are notoriously prone (Hennessy, ). This may be compounded by the well‐recognized lending imperative which is inherent in the Bank's business model, and which results in Bank country staff having incentives to lend which can override both the Bank's global priorities and countries’ own priorities (Bebbington, Lewis, Batterbury, Olson, & Shameem Siddiqi, ; Wade, ).…”

Section: Ownership In the World Bank's Country Operations: Sri Lanka mentioning

confidence: 99%

“…In line with Mintzberg's () influential characterization, the locus of power is as much in the “operating core” as in the “strategic apex.” That is, the professional autonomy which the Bank's technocrats necessarily enjoy (the Bank would grind to a halt if everything had to be referred up to top management) means that they have a good deal more power relative to the Bank's management and its Board than one might expect. Hence Wade's (, p. 661) finding that in two Bank projects, in Brazil and Indonesia, “The balance of power lay with operational staff.” Likewise, Bebbington et al. found that new policy norms appear much more readily in Bank documents than in its practice on the ground.…”

Section: The World Bank's Organizational Culturementioning

confidence: 99%

Lost in translation: The World Bank and the Paris Declaration

McCourt

2018

Development Policy Review

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The Paris Declaration embodies the consensus that country ownership of donor programmes is vital, and above all the principle that donors should base their programmes on developing country priorities. The Organisation for Economic Co‐operation and Development (OECD) has assessed the World Bank as performing relatively well against the Paris targets, though not moving towards full compliance. In Sri Lanka and Côte d'Ivoire, however, the Bank pays only lip service to the governments’ priorities. The Paris commitment is swamped by the influence of the Bank's governing Board and its US‐nominated President, its lending imperative and the professional preoccupations of its staff. Real implementation of the Bank's Paris commitment would entail, ideally, a reform of Bank governance and a contractual mechanism for developing countries to hold the Bank (and other donors) to their Paris promises. Less ambitiously, the Bank and other donors may still take limited but precise action to ensure that country priorities are respected and ownership becomes a reality. In the Bank, it might be enough for the Bank's President to make true adherence to the Paris Declaration a personal priority, and to nominate one of his senior managers to follow up.

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Boulevard to broken dreams, Part 1: the Polonoroeste road project in the Brazilian Amazon, and the World Bank's environmental and indigenous peoples' norms

Cited by 11 publications

References 0 publications

Financial Market Sequence Prediction Based on Image Processing

Financial Market Sequence Prediction Based on Image Processing

A threat rather than a resource: why voicing internal criticism is difficult in international organisations

Lost in translation: The World Bank and the Paris Declaration

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