1,777 research outputs found

    Finlayson, H, [No Service Number]

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/385087Surname: FINLAYSON. Given Name(s) or Initials: H. Military Service Number or Last Known Location: [No Registration Number]. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 45421.230829 Item: [2016.0049.17380] "Finlayson, H, [No Service Number]

    Florius Infortunatus, scribe and author

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    Finlayson Charles-P. Florius Infortunatus, scribe and author. In: Scriptorium, Tome 19 n°1, 1965. pp. 108-109

    Plural wife: the life story of Mabel Finlayson Allred

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    Edited by Martha Bradley-Evans.Includes bibliographical references.Introduction -- Martha Bradley-Evans; Preface -- Mabel Finlayson Allred; My Life Story -- Mabel Finlayson Allred; Postlude: Dedication to their parents -- The Allred children; "My Darling Mabel": Letters and poetry -- From Rulon C. Allred to Mabel Allred

    Lagorchestes asomatus Finlayson 1943

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    Lagorchestes asomatus Finlayson, 1943. Trans. Roy. Soc. South Aust., 67:319. TYPE LOCALITY: Australia, Northern Territory, between Mt. Farewell and Lake Mackay. DISTRIBUTION: Known only from the type locality. COMMENT: Known from a single unsexed skull; see Kirsch and Calaby, 1977:22. ISIS NUMBER: 5301402012009001001.Published as part of James H. Honacki, Kenneth E. Kinman & James W. Koeppl, 1982, Order Marsupialia, pp. 18-51 in Mammal Species of the World (1 st Edition), Lawrence, Kansas, USA :Alien Press, Inc. & The Association of Systematics Collections on page 45, DOI: 10.5281/zenodo.735300

    Pseudomys apodemoides Finlayson 1932

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    Pseudomys apodemoides Finlayson, 1932. Trans. Proc. R. Soc. S. Aust., 56:170. TYPE LOCALITY: Australia, Southern Australia, Coombe. DISTRIBUTION: S.E. South Australia; W. Victoria; New South Wales. COMMENT: Ride, 1970, included this species in albocinereus, but Baverstock et al., 1977, Aust. J. Biol. Sci., 30:471-485, considered it a distinct species.Published as part of James H. Honacki, Kenneth E. Kinman & James W. Koeppl, 1982, Order Rodentia (Part 5), pp. 504-560 in Mammal Species of the World (1 st Edition), Lawrence, Kansas, USA :Alien Press, Inc. & The Association of Systematics Collections on page 545, DOI: 10.5281/zenodo.735303

    Finlayson & C:o H. O. K. osakas

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    Trichosurus vulpecula subsp. raui Finlayson 1963

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    <i>Trichosurus vulpecula raui</i> Finlayson, 1963 <p> <i>Trans. R. Soc. S. Aust.</i> 87: 18, tables 1–2. (December 1963).</p> <p> <b>Common name</b>. Common Brush-tailed Possum.</p> <p> <b>Current name</b>. <i>Trichosurus vulpecula vulpecula</i> (Kerr, 1792), following Jackson & Groves (2015).</p> <p> <b>Paratypes</b>. (2, by subsequent determination): <b>M.4839</b> (formerly SAM M2515), male; <b>M.4840</b> (formerly SAM M2525), female, both study skins and skulls, collected by H. H. Finlayson and F. J. Rau in August 1928 from Rocky River, Flinders Island, South Australia, received from South Australian Museum in 1930.</p> <p> <b>Comments</b>. Although the two AM specimens were sent from SAM three decades before publication of Finlayson’s paper, they evidently form part of the original series of 30 specimens he referred to in his description. Aitken (1976) states that two paratypes were sent to theAM: SAM M.2515, male and SAM M.2525, female, both skins and skulls, with same collection data and locality as the holotype (SAM M.2518) given in the South Australian Museum register. Finlayson cites the registration number of the holotype only, in his account.</p>Published as part of <i>Parnaby, Harry E., Ingleby, Sandy & Divljan, Anja, 2017, Type Specimens of Non-fossil Mammals in the Australian Museum, Sydney, pp. 277-420 in Records of the Australian Museum 69 (5)</i> on page 328, DOI: 10.3853/j.2201-4349.69.2017.1653, <a href="http://zenodo.org/record/5237800">http://zenodo.org/record/5237800</a&gt

    ProppML: A Complete Annotation Scheme for Proppian Morphologies

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    We give a preliminary description of ProppML, an annotation scheme designed to capture all the components of a Proppian-style morphological analysis of narratives. This work represents the first fully complete annotation scheme for Proppian morphologies, going beyond previous annotation schemes such as PftML, ProppOnto, Bod et al., and our own prior work. Using ProppML we have annotated Propp's morphology on fifteen tales (18,862 words) drawn from his original corpus of Russian folktales. This is a significantly larger set of data than annotated in previous studies. This pilot corpus was constructed via double annotation by two highly trained annotators, whose annotations were then combined after discussion with a third highly trained adjudicator, resulting in gold standard data which is appropriate for training machine learning algorithms. Agreement measures calculated between both annotators show very good agreement (F_1>0.75, kappa>0.9 for functions; F_1>0.6 for moves; and F_1>0.8, kappa>0.6 for dramatis personae). This is the first robust demonstration of reliable annotation of Propp's system

    Learning a Better Motif Index: Toward Automated Motif Extraction

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    Motifs are distinctive recurring elements found in folklore, and are used by folklorists to categorize and find tales across cultures and track the genetic relationships of tales over time. Motifs have significance beyond folklore as communicative devices found in news, literature, press releases, and propaganda that concisely imply a large constellation of culturally-relevant information. Until now, folklorists have only extracted motifs from narratives manually, and the conceptual structure of motifs has not been formally laid out. In this short paper we propose that it is possible to automate the extraction of both existing and new motifs from narratives using supervised learning techniques and thereby possible to learn a computational model of how folklorists determine motifs. Automatic extraction would enable the construction of a truly comprehensive motif index, which does not yet exist, as well as the automatic detection of motifs in cultural materials, opening up a new world of narrative information for analysis by anyone interested in narrative and culture. We outline an experimental design, and report on our efforts to produce a structured form of Thompson's motif index, as well as a development annotation of motifs in a small collection of Russian folklore. We propose several initial computational, supervised approaches, and describe several possible metrics of success. We describe lessons learned and difficulties encountered so far, and outline our plan going forward
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