Datafying anti-poverty programmes: implications for data justice

ABSTRACT

This paper seeks to illuminate the significance of datafication for anti-poverty programmes, meaning social protection schemes designed specifically for poor people. The conversion of beneficiary populations into machine-readable data enables two core functions of social protection, those of recognising entitled beneficiaries and assigning entitlements connected to each anti-poverty scheme. Drawing on the incorporation of Aadhaar, India’s biometric population database, in the national agenda for social protection, we unpack a techno-rational perspective that crafts datafication as a means to enhance the effectiveness of anti-poverty schemes. Nevertheless, narratives collected in the field show multiple forms of data injustice on recipients, underpinned by Aadhaar’s functionality for a shift of the social protection agenda from in-kind subsidies to cash transfers. Based on such narratives the paper introduces a politically embedded view of data, framing datafication as a transformative force that contributes to reforming existing anti-poverty schemes.     

Statistical models for e-learning data

In this paper we analyse a real e-learning dataset derived from the e-learning platform of the University of Pavia. The dataset concerns an online learning environment with in-depth teaching materials. The main focus of this paper is to supply a measure of the relative importance of the exercises (test) at the end of each training unit; to build predictive models of student’s performance and finally to personalize the e-learning platform. The methodology employed is based on nonparametric statistical methods for kernel density estimation and generalized linear models and generalized additive models for predictive purposes.     

Does accounting regulation enhance corporate governance? Evidence from the disclosure of share-based remuneration

Accounting for stock options and share-based remuneration is a controversial issue. The purpose of this study is to explore the impact of the mandatory adoption of IFRS 2 on accounting for share-based remuneration by Italian listed companies. The requirements under this standard could have relevant implications for corporate governance as IFRS 2 is expected to reduce the information asymmetry that may exist between corporate insiders and outsiders regarding such remuneration. Empirical evidence confirms that overall disclosure in annual reports concerning the costs of remuneration plans has increased following the adoption of IFRS 2, although some cases of lack of disclosure have also been found. We find that this change in accounting regulation has contributed towards revealing the ‘true’ cost of share-based remuneration to minority shareholders and other investors, together with some evidence of creative accounting surrounding the substance over form principle.     

Efficacy of group therapy for problems with postmastectomy self‐perception,body image,and sexuality

Until very recently, the sexual and body image problems of women treated for breast cancer by surgical removal of the breast were ignored by physicians and therapists. Postmastectomy women (N = 62) and non‐mastectomy women (N = 51) were compared on self‐image and sexuality, positive affect, autonomy, self‐sacrifice, and body touching. Additionally, mastectomees were tested three times over 12 months to evaluate the efficacy of group therapy for postmastectomy women. Prior to group therapy, baseline data indicated that, compared to nonmastec‐tomy women, mastectomees had a significantly different body image and lower sexual adjustment. Specifically there was marked dislike for the amputated breast region and diminished pleasure in self‐touching of the remaining breast. Positive affect and sexual receptivity for both the mastectomee and her partner were perceived to be adversely affected. These effects were not related to age, marital status, or elapsed time since mastectomy. Treatment significantly improved positive affect and sexual adjustment but did not improve attitude toward the amputated breast region or increase the range or frequency of sexual activity and sexual receptivity.     

Prioritizing Environmental Health Risks in the UAE

This article presents the results of a comparative environmental risk‐ranking exercise that was conducted in the United Arab Emirates (UAE) to inform a strategic planning process led by the Environment Agency‐Abu Dhabi (EAD). It represents the first national‐level application of a deliberative method for comparative risk ranking first published in this journal. The deliberative method involves a five‐stage process that includes quantitative risk assessment by experts and deliberations by groups of stakeholders. The project reported in this article considered 14 categories of environmental risks to health identified through discussions with EAD staff: ambient and indoor air pollution; drinking water contamination; coastal water pollution; soil and groundwater contamination; contamination of fruits, vegetables, and seafood; ambient noise; stratospheric ozone depletion; electromagnetic fields from power lines; health impacts from climate change; and exposure to hazardous substances in industrial, construction, and agricultural work environments. Results from workshops involving 73 stakeholders who met in five separate groups to rank these risks individually and collaboratively indicated strong consensus that outdoor and indoor air pollution are the highest priorities in the UAE. Each of the five groups rated these as being among the highest risks. All groups rated soil and groundwater contamination as being among the lowest risks. In surveys administered after the ranking exercises, participants indicated that the results of the process represented their concerns and approved of using the ranking results to inform policy decisions. The results ultimately shaped a strategic plan that is now being implemented.     

Asymptotic behavior of RA-estimates in autoregressive 2D processes

In this work we study the asymptotic behavior of a robust class of estimators of the coefficient of a AR-2D process. We establish the precise conditions for the consistency and asymptotic normality of the RA estimator. The AR-2D model has many applications in image modeling and statistical image processing, therefore the relevance of knowing such properties. The adequacy of the AR-2D model is analyzed with real images; we also show the impact of contamination and the capability of the RA estimator to produce useful results even in the presence of spurious data.     

Use of the scale-up methods in injury prevention research: An empirical assessment to the case of choking in children

The scale-up method estimates the size of hard to count subpopulations. This method is based on the idea that the proportion of subjects in a subpopulation E known to each member of the general population T is the same as the proportion of members of E belonging to general population T.     

Bailouts: The lesser of two evils?

This paper investigates the relation between bailouts and regulation. Regulation, by limiting the room for government intervention in the market, can affect the likelihood and size of a bailout. While a higher level of regulation is associated with a lower likelihood of a direct acquisition, such countries resort to a higher use of State aid. The findings suggest the more transparent nature of direct acquisitions, makes them the lesser of two evils. In this light, policymakers should monitor State Aid and bailouts together, with the aim of making the former more transparent.     

If we practice posthumanist research,do we need ‘gender’ any longer?

This article offers a reflection around the question of ‘do we need ‘gender’ any longer?’ In taking up this problem and inspired by the way in which postqualitative inquiry has opened a conversation with Deleuzian philosophy and formulated a ‘concept as/instead of method’ line of thought, I wonder whether new images of thought might give the concept of gender ‘the forces it needs to return to life’ or the forces to abandon it. I propose four different images that might provoke the desire to experiment with a new image of thought in relation to the problem: a vegetal mode of thought, a musical mode, a fleshy mode as labiaplasty, a nonliving mode. This choice is connected to the dualities they target: the human/vegetal living world, the rational/artistic production of knowledge, the dis‐embodied/corporeal being in the world, the life/nonlife hierarchization. Each way of thinking of ‘gender’ stages, enacts, performs a different material reality of the concept that shifts the focus from linguistic representations to discursive practices. Hence, if gender has become a dominant discourse, it may be that positive repetition of this discourse might become a way of opening a new site inside it, by de‐territorializing it and re‐territorializing it otherwise.     

Procedure to identify outliers through cumulative distribution of extremes in a Gamma response model

This work aimed at proposing a procedure based on the cumulative distribution of maximums and minimums to identify outliers in generalized Gamma-response models. In order to validate such method, we used simulations scenarios defined by the combination of different samples, contamination rate and distributions with different degrees of asymmetry. In this context, probabilities related to errors in classification and accuracy were obtained by carrying by Monte Carlo simulations. Using cumulative distribution of extremes to identify outliers in a Gamma-response model is recommended, since it is not likely to present errors and was highly accurate in all assessed scenarios.