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Record W2521357283 · doi:10.1186/s13722-016-0062-9

Proceedings of the 13th annual conference of INEBRIA

2016· article· en· W2521357283 on OpenAlex
James Morris, John J. Isitt, Pablo Barrio, Lluïsa Ortega, Antoni Gual, Kenneth R. Conner, Tracy Stecker, Stephen A. Maisto, Sophie Paroz, Caroline Graap, Véronique S. Grazioli, Jean‐Bernard Daeppen, Susan E. Collins, Nicolas Bertholet, Jennifer McNeely, Vlad Kushnir, John Cunningham, Iain K. Crombie, Kathryn B Cunningham, Linda Irvine, Brian Williams, Falko F. Sniehotta, John Norrie, Ambrose J. Melson, Claire Jones, Andrew Briggs, Peter J. Rice, Marcus Achison, Andrew McKenzie, Elena Dimova, Peter W Slane, Stéphanie Baggio, Marc Dupuis, Joseph Studer, Gerhard Gmel, Molly Magill, Robert J. Tait, Lucinda Teoh, Erin Kelty, Elizabeth Geelhoed, David Mountain, Gary Kenneth Hulse, Elina Renko, Shannon Gwin Mitchell, David W. Lounsbury, Zhi Li, Robert P. Schwartz, Jan Gryczynski, Arethusa S. Kirk, Marla Oros, Colleen Hosler, Kristi Dušek, Barry S. Brown, Deborah S. Finnell, Aisha Holloway, Li‐Tzy Wu, Geetha Subramaniam, Gaurav Sharma, Sara Wallhed Finn, Sven Andréasson, Robert D. Dvorak, Matthew P. Kramer, Brittany L. Stevenson, Emily Sargent, Tess M. Kilwein, Sion Kim Harris, Lon Sherritt, Sarah Copelas, John R. Knight, Noreen Dadirai Mdege, Jim McCambridge, Gallus Bischof, Anja Bischof, Jennis Freyer‐Adam, Niamh Fitzgerald, Lisa Schölin, Paul Toner, Jan R. Böhnke, Laura J. Veach, Olivia Currin, Leigh Z. Dongre, Preston R. Miller, Elizabeth White, Emily C. Williams, Gwen T. Lapham, Jennifer J. Bobb, Anna D. Rubinsky, Sheryl L. Catz, Susan M. Shortreed, Kara M. Bensley, Katharine A. Bradley, Joanna Milward, Paolo Deluca, Zarnie Khadjesari, Stephanie Fincham-Campbell, Colin Drummond, Kathryn Angus, Linda Bauld, Sophie Baumann, Katja Haberecht, Inga Schnuerer, Christian Meyer, Hans‐Jürgen Rumpf, Ulrich John, Beate Gaertner, Marion Barrault-Couchouron, Marion Béracochéa, Vincent Allafort, Valérie Barthélémy, Hervé Bonnefoi, Emmanuel Bussières, V. Garguil, Marc Auriacombe, Marianne Saint-Jacques, Michel Dorval, Katia M’Baïlara, Lídia Segura, Nuria Ibañez-Martinez, Juan Manuel Mendive-Arbeloa, Manel Anoro-Perminger, Pako Diaz-Gallego, Ma Angeles Piñar-Mateos, Joan Colom-Farran, Marianthi Deligianni, Bertrand Yersin, Angéline Adam, Constance Weisner, Felicia Chi, Wendy Lu, Stacy Sterling, Kevin L. Kraemer, Kathleen A. McGinnis, David A. Fiellin, Melissa Skanderson, Adam J. Gordon, Jonathan Robbins, Susan Zickmund, P. Todd Korthuis, E. Jennifer Edelman, Nathan B. Hansen, Christopher J. Cutter, Lynn E. Fiellin, Patrick G. O’Connor, Roger Bedimo, Cynthia Gilbert, Vincent C. Marconi, David Rimland, Maria C. Rodriguez‐Barradas, Michael S. Simberkoff, Amy C. Justice, Kendall Bryant, Anne H. Berman, Gillian W. Shorter, Jeremy W. Bray, Carolina Barbosa, Magnus Johansson, Reid K. Hester, William Campbell, Maria Lúcia Oliveira de Souza Formigoni, André Luiz Monezi Andrade, Laisa Marcorela Andreoli Sartes, Christopher Sundström, Niels Eék, Martin Kraepelien, Viktor Kaldo, Claudia Fahlke, Lynn Hernández, Sara J. Becker, Richard Jones, Hannah Graves, Anthony Spirito, Silke Diestelkamp, Lutz Wartberg, Nicolas Arnaud, Rainer Thomasius, Jacques Gaume, Cristiana Fortini, Zelra Malan, Robert Mash, Katherine Everett‐Murphy, Meichun Mohler‐Kuo, Lawrence Doi, Helen Cheyne, Ruth Jepson, Vanesa Luna, Leticia Echeverría, Silvia Morales, Tereza Maria Mendes Diniz de Andrade Barroso, Ângela Abreu, Cosma Aguiar, Duncan Stewart, Ângela Maria Mendes Abreu, Riany Moura Rocha Brites, Rafael Tavares Jomar, Gerson Luiz Marinho, Pedro Parreira, J. Paul Seale, J. Aaron Johnson, Dena Henry, Sharon Chalmers, F Payne, Linda Tuck, Akula Morris, Cátia Gonçalves, Bettina Besser, Cristina Casajuana, Hugo López‐Pelayo, Mercè Balcells‐Oliveró, Lídia Teixidó, Laia Miquel, Joan Colom, Kimberly A. Hepner, Katherine J. Hoggatt, Andy Bogart, Susan M. Paddock, Sarah Hardoon, Irene Petersen, Fiona Hamilton, Irwin Nazareth, Ian R. White, Louise Marston, Paul K. Wallace, Christine Godfrey, Elizabeth Murray, Hana Sovinová, Ladislav Csémy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAddiction Science & Clinical Practice · 2016
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsUniversité LavalUniversité de SherbrookeCentre for Addiction and Mental Health
FundersPublic Health Agency
KeywordsWatsonCitationAddictionHealth psychologyPsychologyLibrary sciencePublic healthMedicinePsychiatryComputer sciencePathologyArtificial intelligence

Abstract

fetched live from OpenAlex

Background: Many young people in England do not use services associated with delivery of alcohol IBA (also called screening and brief intervention). The project tested whether IBA can be delivered to 18-30 year-old, on busy city streets, by trained workers who were not healthcare professionals, without framing it as an 'alcohol reduction' intervention. This approach may be referred to as 'IBA Direct' . Materials and methods: Numbers of participants in the intervention were recorded on a monitoring sheet, along with the individual's gender, age and AUDIT score. The evaluator asked some participants to complete a brief, anonymous feedback form about their experience of the intervention. Results: The project was delivered over 3 days, amassing a total of 24 h across 2 Saturdays and 1 Sunday in August 2015. Four workers were present on all days. In total, 402 brief interventions were completed; however, data from 379 participants were recorded. Forty-one percent were female (21 % missing data) and 42 % were aged in their teens or twenties. A participant feedback form was completed by 61 people. Ninety-three percent (n = 57) rated the service as 'Excellent' or 'Good' . All respondents who answered the question on the suitability of the setting of the service (n = 58) said it was suitable. Nine out of ten respondents (n = 55) stated they would participate in this service in a public setting again. Conclusions: The evaluation of this project has demonstrated the feasibility and high acceptability of IBA Direct being delivered by non-health workers to the public on the streets of London. There were high levels of engagement at each location and among those aged 18-30. Important facilitators were considered to be the 'branding' of the intervention and materials, for example, framed as a 'health quiz' not 'alcohol reduction' and incentives to draw people in such as free 'mocktails' (soft drinks).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.409
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it