Zachary Merton Hospital

Coaching and mentoring have been used in the commercial sector for many years and are increasingly being used in healthcare to support and develop leaders. This chapter examines these concepts and explores their application for leaders in psychiatry. All coaching relationships begin with a contract or agreement. This provides both parties with the opportunity to explore the purpose, practicalities, preferred styles and boundaries of the relationship. An important aspect of successful coaching is the ability of the coach and client to be able to develop a relationship. Another important aspect of mentoring is the opportunity it provides to address issues of diversity and equality. There are a number of models that can be used to structure a coaching session. The chapter outlines three of the models for coaching that are currently taught: the TGROW model, Egan-the ‘Skilled Helper’ model, and the CLEAR model.

L’enseignement technique était moins un instrument de modernisation de l’économie qu’un réflexe de conservation devant les durs effets de mutations économiques rapides : dépeuplement rural, crise de l’apprentissage, poussée des professions intermédiaires. L’industrie était plus concernée par cet enseignement que l’agriculture, les métiers bourgeois plus que la grande industrie (à la seule exception des cadres). Les contacts avec la masse des ouvriers et des cultivateurs restaient toutefois très difficiles. Étaient surtout importantes les initiatives des municipalités, des industriels, des chambres de commerce et de l’Église. Le rôle de l’État se bornait le plus souvent à la réorganisation de ce qui était déjà en place et à de stériles débats sur la nature de l’enseignement technique. Trop souvent, les écoles techniques ne répondaient pas aux besoins réels. Les dynasties bourgeoises ne ressentaient pas la nécessité de les fréquenter ; les cadres étaient formés pour la première révolution industrielle plutôt que pour la seconde ; et les patrons trouvaient médiocres les apprentis qui sortaient de ces écoles. Que ce soit à cause des modifications de la structure sociale, ou à cause de l’ambition sociale provoquée par l’enseignement technique, un de ses principaux résultats fut le déclassement qu’il cherchait justement à éviter.

Abstract Though its use declined after the Middle Ages, the chronicle long remained the genre of choice for those unsatisfied with conventional histories. John Galt, a Scottish Romantic author currently enjoying renewed critical interest, demonstrates the political applications of the chronicle, in both form and content, as a means of harnessing Britain’s distant past to come to terms with the material and philosophical developments of the long eighteenth century. In particular, Galt’s adaptation of the chronicle offers an alternate reading of the past in which history is not something from which society must escape, nor something uniformly primitive, but rather something to be harnessed in buttressing political systems, an expression of trust in social institutions typical of Burkean conservatism. This line of argument reveals a committed Tory who fears the potential for violence – particularly political assassination and regicide – in the post-Revolutionary era. The Spaewife (1823) depicts a historical moment drawn from Scotland’s chronicle tradition using language linking it to political circumstances of the 1820s. Just as Galt’s earlier works question the purpose and efficacy of early century social unrest, so too does The Spaewife undermine the argument for political assassination even as it leaves open an understanding of the circumstances that (mistakenly) led parties to commit such acts. Unlike the novel’s proximal source text, Galt’s narrative locates political justice on the side of the murdered King James I, and in so doing resuscitates Scotland’s oldest textual tradition in opposition to theories of resistance that had been used to justify contemporary cases of political assassination.

Design campaigns in chemistry, materials science, and machine learning share a bottleneck: determining how good a candidate truly is requires an expensive evaluation - an experiment, a first-principles simulation, or a full training run. Machine-learning surrogates that predict these outcomes are increasingly used not only to propose candidates but to grade them, and even to feed their own predictions back into the search as though they were measurements. Through mathematical analysis validated on three exhaustively ground-truthed design tasks, we establish when this practice is safe, what any certificate of safety must cost, and when the substitution provably pays. Predictive accuracy cannot anchor trust: near-perfect R^2 is compatible with worst-possible selections, and screening N candidates inflates the over-prediction at the selected candidate by a quantifiable "selection tax" with matching upper and lower bounds. Safety follows instead from an architectural rule - predictions may propose and train without restriction, but every certified conclusion must rest on true evaluations - which is sufficient with no assumptions on the surrogate, and necessary, since admitting predictions into certification with the standing of measurements opens a deterministic self-confirmation failure mode. We derive the minimal criterion under which a model may act as an oracle (rank preservation, not accuracy), show that trust must be purchased through selection-aware audits that are optimal in query complexity, and prove a dichotomy fixing when audited surrogates cut certified evaluation cost. Across 432 surrogate fits over six task-regime conditions, the audit statistic tracks deployed search performance at Spearman rank correlation 0.80-0.99, while the rank correlation of R^2 with deployed regret falls as low as 0.33; audited screening reduces certified oracle cost by a measured factor of 25.

Short Notices Get access JOHN M. ROBERTS JOHN M. ROBERTS Merton CollegOxford Search for other works by this author on: Oxford Academic Google Scholar The English Historical Review, Volume LXXXVIII, Issue CCCXLIX, October 1973, Pages 913-a–913, https://doi.org/10.1093/ehr/LXXXVIII.CCCXLIX.913-a Published: 01 October 1973

SHORT NOTICES Get access J. R. L. HIGHFIELD J. R. L. HIGHFIELD Merton CollegOxford Search for other works by this author on: Oxford Academic Google Scholar The English Historical Review, Volume LXXXIX, Issue CCCLI, April 1974, Pages 425-b–425, https://doi.org/10.1093/ehr/LXXXIX.CCCLI.425-b Published: 01 April 1974

György (Đuro) Arnold (1781-1848) the composer, teacher, conductor, lexicographer and founder of the first music school in Subotica, was the regens chori of the Subotica's Sv. Terezija church (1800-48). He was a prolific composer, writing in a variety of genres, from compositions for the church of Sv. Terezija, choral and chamber works to operas, melodramas, songs, overtures, and verbunkos (the complete list of his works is included in the appendix). Arnold's style was influenced by Viennese Classical church music and the emerging Hungarian national style. In his early sacred pieces, he used quotations from popular operas, but in later compositions he was closer to Haydn, and the Te Deum Solenne dedicated to the Zagreb Bishop Aleksandar Alagović shows possible influence of early Beethoven. In many aspects, Arnold was a composer on the periphery. He liked large ensembles which could impress audiences with the brightness of the orchestral sound altough, as far as we know, he never attempted to build a large symphonic form which would match the richness of such a sound. He ususally set the text in short sentences, quickly exhausting its possibilities, undermining the expectations raised by the large-scale gradations which open his compositions. In 1819, Arnold published Pismenik, a collections of texts (without tunes) of Croatian Roman Catholic hymns collected in Bačka (western Vojvodina); the preface to Pismenik and its complete table of contents are reprinted in an appendix. In 1839-40, he completed the hymnal Valóságos egyházi kántori fontos énekeskönyv with 186 church compositions intended for Hungarian and Transylvanian chuch musicians, which remained unpublished. In 1826, Arnold began working on the Historisch-musikalisch bibliographisches Tonkünstler Lexikon, which expanded to four manuscript volumes in length, but remained unpublished and seems to be lost today.

Short Notices Get access J. R. L. HIGHFIELD J. R. L. HIGHFIELD Merton CollegOxford Search for other works by this author on: Oxford Academic Google Scholar The English Historical Review, Volume LXXXVI, Issue CCCXLI, October 1971, Pages 844–845, https://doi.org/10.1093/ehr/LXXXVI.CCCXLI.844 Published: 01 October 1971

Journal Article Shorter Notice Get access STUART AIRLIE STUART AIRLIE Merton ColleèOxford Search for other works by this author on: Oxford Academic Google Scholar The English Historical Review, Volume CI, Issue CCCXCIX, April 1986, Pages 467–468, https://doi.org/10.1093/ehr/CI.CCCXCIX.467 Published: 01 April 1986

This paper provides some of the first large-scale descriptive evidence on how consumers adopt and use platform-embedded shopping AI in e-commerce. Using data on 31 million users of Ctrip, China's largest online travel platform, we study "Wendao," an LLM-based AI assistant integrated into the platform. We document three empirical regularities. First, adoption is highest among older consumers, female users, and highly engaged existing users, reversing the younger, male-dominated profile commonly documented for general-purpose AI tools. Second, AI chat appears in the same broad phase of the purchase journey as traditional search and well before order placement; among journeys containing both chat and search, the most common pattern is interleaving, with users moving back and forth between the two modalities. Third, consumers disproportionately use the assistant for exploratory, hard-to-keyword tasks: attraction queries account for 42% of observed chat requests, and chat intent varies systematically with both the timing of chat relative to search and the category of products later purchased within the same journey. These findings suggest that embedded shopping AI functions less as a substitute for conventional search than as a complementary interface for exploratory product discovery in e-commerce.