“How Can a Woman Who Has Been Raped Be Believed?”: Andrea Dworkin, Sexual Violence and the Ethics of Belief

In June 2000, Andrea Dworkin, an American feminist activist and author, published an account of being raped in a Paris hotel room a year earlier. The story was met with widespread disbelief, including from feminist readers. This article explores the reasons for this disbelief, asking how and why narratives of rape are granted – or denied – truth status by their readers. The article argues for understanding the conferral of belief as a narrative transaction involving the actions of both narrator and reader. It posits that Dworkin was widely seen as an unreliable narrator but argues that for ideologically charged narratives such as rape narratives judgements of reliability and belief inevitably draw upon the normative standpoint of the reader. I suggest that there are opposing criteria for establishing the truth of rape narratives; a ‘factual’ or legal model, which sees rape narratives as requiring scrutiny, and an ‘experiential’ model, located within certain strands of feminist politics, which emphasises the ethical importance of believing women’s narratives. The article finishes with a consideration of the place of belief within an ethics of reading and reception of rape narratives.

Transgressing Contemporary Boundaries:The Narrator as True Custodian of Cultural Knowledge in Ulster Society

Historically in Gaelic culture, the bard was greatly valued and admired as an important and integral part of society. Travelled, schooled and specifically trained in their art, the bard helped ensure identity and reassurance for Gaelic families by grounding them both temporarily and spatially into their landscape. Entrusted with the duty and responsibility of recording place and event, the bards worked without writing and by transgressing man-made boundaries, travelled throughout the land weaving their histories into the very fabric of society.

Now no longer with us, we find ourselves without the distinguished chronicler to undertake this duty. Yet the responsibility of the Gaelic bard is one still shared by all artists today; to facilitate memory and identity, whether good or bad. Many Ulster writers, by happenstance and geography have found themselves located in a place of painful histories. An immediate difficulty for those local writers becomes manifest by being intrinsically implicated into those histories – whilst having first-hand knowledge and comprehension beyond that of the outsider, the local writer is automatically damned by association and relationship, thereby tarnishing their voice in comparison to the perceived impartiality of others.
Some writers however have successfully sought ways to escape this limitation and have worked in ways that can transgress the restrictions of prejudgement. John Hewitt, by purposely becoming a self-imposed tourist was able to distance himself to write impartially about the past, recognising that ’the place without its ghosts is a barren place.’1 In ‘The Colony’,2 tradition, peoples and mapping of the land are all narrated by Hewitt in a similar way to the Gaelic bardic topographic poems of Sean O'Dubhagain and Giolla Na Naomh O'Huidhrin3 in compiling a rich cultural atlas.

Similarly the Belfast poet and novelist Ciaran Carson also writes and records the city from an intermediary position; that of translator. Mediating between reader and aisling,4 Carson himself takes the reader on a journey into name, meaning, time and place, focusing primarily on the city of Belfast, familiar in name but impenetrable in depth to most.

Furthermore, this once-forgotten tradition to chronicle is now being continued by the new breed of Irish crime writers where the likes of Brian McGilloway, Stuart Neville and Adrian McKinty can, by way of the crime novel, accurately record contemporary society. Thus, ghost estates, listed buildings, archaeological digs, street and city have all provided setting and subject matter for recent novels. Moreover by choosing the ‘outsider from within’ as their chief protagonist, whether detective or criminal, each author is able to transgress the boundaries of prejudice and preconception that hinder genuine understanding and knowledge.

Looking in turn at the Gaelic bard, the twentieth century Ulster poet and the new breed of Irish crime writer, the authors will outline the real value of the narrator, by being able to act as cultural transgressor beyond the seeming and alleged as the true chronicler in society, and then with specific reference to city and countryside in Ireland, as a valuable custodian of knowledge in architecture and place.

Keywords
Architecture, Crime Fiction, Cultural Atlas, Place, Poetry.

1 From ‘The Bloody Brae’, a one act play written by John Hewitt in the 1930’s.
2 Hewitt, J. (1968) published in Collected Poems 1932-67. London:McGibbon & Kee.
3 Lengthy and detailed medieval Gaelic poems composed in the fourteenth and fifteenth centuries first edited by John O'Donovan in 1862 for the Irish Archaeological and Celtic Society in Dublin.
4 The aisling is the Irish song or poem genre when the poet is visited by their muse in a daydream or dream-vision state.

Significance Driven Computation on Next-Generation Unreliable Platforms

In this paper, we propose a design paradigm for energy efficient and variation-aware operation of next-generation multicore heterogeneous platforms. The main idea behind the proposed approach lies on the observation that not all operations are equally important in shaping the output quality of various applications and of the overall system. Based on such an observation, we suggest that all levels of the software design stack, including the programming model, compiler, operating system (OS) and run-time system should identify the critical tasks and ensure correct operation of such tasks by assigning them to dynamically adjusted reliable cores/units. Specifically, based on error rates and operating conditions identified by a sense-and-adapt (SeA) unit, the OS selects and sets the right mode of operation of the overall system. The run-time system identifies the critical/less-critical tasks based on special directives and schedules them to the appropriate units that are dynamically adjusted for highly-accurate/approximate operation by tuning their voltage/frequency. Units that execute less significant operations can operate at voltages less than what is required for correct operation and consume less power, if required, since such tasks do not need to be always exact as opposed to the critical ones. Such scheme can lead to energy efficient and reliable operation, while reducing the design cost and overheads of conventional circuit/micro-architecture level techniques.

On the Exploitation of the Inherent Error Resilience of Wireless Systems under Unreliable Silicon

In this paper, we investigate the impact of circuit misbehavior due to parametric variations and voltage scaling on the performance of wireless communication systems. Our study reveals the inherent error resilience of such systems and argues that sufficiently reliable operation can be maintained even in the presence of unreliable circuits and manufacturing defects. We further show how selective application of more robust circuit design techniques is sufficient to deal with high defect rates at low overhead and improve energy efficiency with negligible system performance degradation.

Data Mapping for Unreliable Memories

Future digital signal processing (DSP) systems must provide robustness on algorithm and application level to the presence of reliability issues that come along with corresponding implementations in modern semiconductor process technologies. In this paper, we address this issue by investigating the impact of unreliable memories on general DSP systems. In particular, we propose a novel framework to characterize the effects of unreliable memories, which enables us to devise novel methods to mitigate the associated performance loss. We propose to deploy specifically designed data representations, which have the capability of substantially improving the system reliability compared to that realized by conventional data representations used in digital integrated circuits, such as 2's-complement or sign-magnitude number formats. To demonstrate the efficacy of the proposed framework, we analyze the impact of unreliable memories on coded communication systems, and we show that the deployment of optimized data representations substantially improves the error-rate performance of such systems.

Approximate Computing with Unreliable Dynamic Memories

Embedded memories account for a large fraction of the overall silicon area and power consumption in modern SoC(s). While embedded memories are typically realized with SRAM, alternative solutions, such as embedded dynamic memories (eDRAM), can provide higher density and/or reduced power consumption. One major challenge that impedes the widespread adoption of eDRAM is that they require frequent refreshes potentially reducing the availability of the memory in periods of high activity and also consuming significant amount of power due to such frequent refreshes. Reducing the refresh rate while on one hand can reduce the power overhead, if not performed in a timely manner, can cause some cells to lose their content potentially resulting in memory errors. In this paper, we consider extending the refresh period of gain-cell based dynamic memories beyond the worst-case point of failure, assuming that the resulting errors can be tolerated when the use-cases are in the domain of inherently error-resilient applications. For example, we observe that for various data mining applications, a large number of memory failures can be accepted with tolerable imprecision in output quality. In particular, our results indicate that by allowing as many as 177 errors in a 16 kB memory, the maximum loss in output quality is 11%. We use this failure limit to study the impact of relaxing reliability constraints on memory availability and retention power for different technologies.

Statistical data correction for unreliable memories

In this paper, we introduce a statistical data-correction framework that aims at improving the DSP system performance in presence of unreliable memories. The proposed signal processing framework implements best-effort error mitigation for signals that are corrupted by defects in unreliable storage arrays using a statistical correction function extracted from the signal statistics, a data-corruption model, and an application-specific cost function. An application example to communication systems demonstrates the efficacy of the proposed approach.

On the performance of LDPC and turbo decoder architectures with unreliable memories

In this paper, we investigate the impact of faulty memory bit-cells on the performance of LDPC and Turbo channel decoders based on realistic memory failure models. Our study investigates the inherent error resilience of such codes to potential memory faults affecting the decoding process. We develop two mitigation mechanisms that reduce the impact of memory faults rather than correcting every single error. We show how protection of only few bit-cells is sufficient to deal with high defect rates. In addition, we show how the use of repair-iterations specifically helps mitigating the impact of faults that occur inside the decoder itself.

Mitigating the Impact of Faults in Unreliable Memories for Error-Resilient Applications

Inherently error-resilient applications in areas such as signal processing, machine learning and data analytics provide opportunities for relaxing reliability requirements, and thereby reducing the overhead incurred by conventional error correction schemes. In this paper, we exploit the tolerable imprecision of such applications by designing an energy-efficient fault-mitigation scheme for unreliable data memories to meet target yield. The proposed approach uses a bit-shuffling mechanism to isolate faults into bit locations with lower significance. This skews the bit-error distribution towards the low order bits, substantially limiting the output error magnitude. By controlling the granularity of the shuffling, the proposed technique enables trading-off quality for power, area, and timing overhead. Compared to error-correction codes, this can reduce the overhead by as much as 83% in read power, 77% in read access time, and 89% in area, when applied to various data mining applications in 28nm process technology.

Strong parallel magnetic field effects on the hydrogen molecular ion

Equilibrium distances, binding energies and dissociation energies for the ground and low-lying states of the hydrogen molecular ion in a strong magnetic field parallel to the internuclear axis are calculated and refined, by using the two- dimensional pseudospectral method. High-precision results are presented for the binding energies over a wider field regime than already given in the literature (Kravchenko and Liberman 1997 Phys. Rev. A 55 2701). The present work removes a long- standing discrepancy for the R-eq value in the 1sigma(u) state at a field strength of 1.0 x 10(6) T. The dissociation energies of the antibonding 1pi(g) state induced by magnetic fields are determined accurately. We have also observed that the antibonding 1pi(g) potential energy curve develops a minimum if the field is sufficiently strong. Some unreliable results in the literature are pointed out and discussed. A way to efficiently treat vibrational processes and coupling between the nuclear and the electronic motions in magnetic fields is also suggested within a three-dimensional pseudospectral scheme.

'Le récit de vie(s)': immobility and fluidity in Ying Chen's works

The article explores the themes of fluidity and immobility in the works of Ying Chen, a francophone Chinese writer whose early texts are associated with 'les écritures migrantes' of Quebec. From her third book, the narratives take on a post-death perspective and the narrator moves between her present existence and past lives.

Comment on "Electron collisional excitation of argon-like Ni XI using the Breit-Pauli R-matrix method" [Eur. Phys. J. D 42, 235-241 (2007)] - Electron impact excitation of Ni XI

In a recent paper, Verma et al. [Eur. Phys. J. D 42, 235 (2007)] have reported results for energy levels, radiative rates, collision strengths, and effective collision strengths for transitions among the lowest 17 levels of the (1s(2)2s(2)2p(6))3s(2)3p(6), 3s(2)3p(5)3d and 3s3p(6)3d configurations of Ni XI. They adopted the CIV3 and R-matrix codes for the generation of wavefunctions and the scattering process, respectively. In this paper, through two independent calculations performed with the fully relativistic DARC (along with GRASP) and FAC codes, we demonstrate that their results are unreliable. New data are presented and their accuracy is assessed.