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The Agriculture Network Information Collaborative (AgNIC) is a voluntary alliance of members working to provide access to agricultural information over the internet. This paper aims to report on a group effort by AgNIC partners to identify institutional repositories with desirable content for metadata harvesting. Once identified, the metadata is captured through an automated harvest and added to a searchable resource database.

The project utilized a crowdsourced approach to the repository review. Partners were invited to participate in a harvest to identify sites with desirable content. A Google Docs accessible spreadsheet containing names and URLs for the target repositories was shared by participants and used to record results.

Crowdsourcing the review of institutional repositories by AgNIC partners was an effective method to complete a web‐resources project. Success was achieved by having a clear goal, defined steps, a shared document for recording results, and a limited time period to execute the project.

While AgNIC is a highly collaborative group, this crowdsourcing project demonstrated another approach to shared effort.

VINE is produced at least four times a year with the object of providing up‐to‐date news of work being done in the automation of library housekeeping processes, principally in the UK. It is edited and substantially written by Tony McSean, Information Officer for Library Automation based in Southampton University Library and supported by a grant from the British Library Research and Development Department. Copyright for VINE articles rests with the British Library Board, but opinions expressed in VINE do not necessarily reflect the views and policies of the British Library. The subscription to VINE is £17 per annum and the period runs from January to December.

American Horror Story, with its strong narrative arcs, interesting characters and high production values, is one of the most important horror TV series in the post-millennial years. This chapter will focus on the four roles played by Oscar-winning actress, Jessica Lange in the first four series.

This paper is an exploratory study of one approach to incorporating situational information into information retrieval systems, drawing on principles and methods of discourse linguistics. A tenet of discourse linguistics is that texts of a specific type possess a structure above the syntactic level, which follows conventions known to the people using such texts to communicate. In some cases, such as literature describing work done, the structure is closely related to situations, and may therefore be a useful representational vehicle for the present purpose. Abstracts of empirical research papers exhibit a well‐defined discourse‐level structure, which is revealed by lexical clues. Two methods of detecting the structure automatically are presented: (i) a Bayesian probabilistic analysis; and (ii) a neural network model. Both methods show promise in preliminary implementations. A study of users' oral problem statements indicates that they are not amenable to the same kind of processing. However, from in‐depth interviews with users and search intermediaries, the following conclusions are drawn: (i) the notion of a generic research script is meaningful to both users and intermediaries as a high‐level description of situation; (ii) a researcher's position in the script is a predictor of the relevance of documents; and (iii) currently, intermediaries can make very little use of situational information. The implications of these findings for system design are discussed, and a system structure presented to serve as a framework for future experimental work on the factors identified in this paper. The design calls for a dialogue with the user on his or her position in a research script and incorporates features permitting discourse‐level components of abstracts to be specified in search strategies.

D.H. Lawrence thought Lady Chatterley’s Lover was his best and most important novel. Yet he had to pay to have it privately printed. His publishers thought his sexual descriptions and language were obscene under the censorship laws of the UK and the USA, and they were right. From 1928 until 1959 no‐one could legally publish or sell the unexpurgated novel, and copies were subject to confiscation. All this changed in 1959 when Charles Rembar successfully defended Grove Press’s right to publish the novel. His defense, which rested on a unique interpretation of Justice Brennan’s opinion in Roth v. United States, introduced the redeeming‐social‐value test for obscenity. Within six years it revolutionized American obscenity laws, ensuring that sexual material with even a small measure of social value would enjoy First Amendment protection.