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Report on Monetary Policy Tools, Strategy and Communication
Christophe Kamps, Matthieu Bussière, Birgit Niessner, Oreste Tristani, Kai Christoffel, Sujit Kapadia, Giuseppe Ferrero, Thomas Vlassopoulos, Roberto Motto, Galo Nuño, Rafael Gerke, Ramón Adalid, Yıldız Akkaya, Simone Auer, Niels Gilbert, Lea Bitter, Claus Brand, Alexandre Carrier, Paola Di Casola, Michael Dobrew, Alessandro Ferrari, Gavin Goy, Adriana Grasso, Boryana Ilieva, Thomas Kostka, Noëmie Lisack, Falk Mazelis, Thomas McGregor, Benoît Nguyen, Sebastian Rast, Annukka Ristiniemi, Stefan Ruhkamp, Arthur Saint Guilhem, Elisa Saporito, Andreea Vladu, Pablo Aguilar, Anastasia Allayioti, Carlo Altavilla, Elena Angelini, A. Pareja, Eleni Argiri, Aris Avgousti, Katarzyna Bańkowska, David Barkhausen, Anna Bartocci, Colm Bates, Christoph Basten, Ursel Baumann, Nicola Benatti, Marco Bernardini, Tilman Bletzinger, Elena Bobeica, Diana Bonfim, Jef Boeckx, Benjamin Böninghausen, Paolo Bonomolo, Margherita Bottero, Miguel Boucinha, Dirk Broeders, Katarzyna Budnik, Lorenzo Burlón, Ginters Bušs, Alessandro Cantelmo, Giacomo Carboni, José Cardoso da Costa, Tomás Carrera de Souza, André Casalis, Matteo Ciccarelli, Julian-Baptiste Cinquin, Mohammed Chahad, Günter Coenen, Agostino Consolo, Pietro Cova, Matias Covarrubias, Olivier Georg De Jonghe, Roberto A. De Santis, Milan Deskar-Škrbić, Rodolfo Dinis Rigato, Stéphane Dupraz, Michael Ehrmann, Michaela Elfsbacka-Schmöller, Rita Fernandes Vitorino Besugo, Annalisa Ferrando, Luís Fonseca, Caterina Forti Grazzini, José‐Elías Gallegos, Johannes Gareis, Laura Gáti, Dimitris Georgarakos, Gabriel Glöckler, Nicolò Gnocato, Sandra Gomes, B. Gonzales, Robert Goodhead, Antonio Greco, Alex Grimaud, Johannes Größ, Markus Haavio, Tim Hagenhoff, Casper Helmus, J. A. Heikkinen, Hannah Sabine Hempell, Marie Hoerova, Fédéric Holm-Hadulla, Björn Imbierowicz, Katti Irastorza, Klodiana Istrefi, Jip Italianer, Pirkka Jalasjoki, Kasper Jørgensen, Gallegos Dago Jose, Rokas Kaminskas, Péter Karádi, Hanno Kase, Danielle Kedan, Mark Kerssenfischer, Daniel Kienzler, Juha Kilponen, Inge Klaver, Georgi Kocharkov, Thore Kockerols, Antoine Kornprobst, Mika Kortelainen, Georgi Krustev, Vanessa Kunzmann, Claudia Kwapil, Olli-Matti Laine, Jan Hannes Lang, Wolfgang Lechtaler, Wolfgang Lemke, Stéphane Lhuissier, Philipp Lieberknecht, Tobias Linzert, Matija Lozej, Peeter Luikmel, Frederik Lund-Thomsen, Patrick Lünnemann, Davide Malacrino, Catalina Martínez Hernández, Jaime Martínez-Martín, Magali Marx, Kostas Mavromatis, Aidan Meyler, Angeliki Momtsia, Georg Müller, Antón Nákov, Kalin Nikolov, Alessandro Notarpietro, Meri Obstbaum, Florens Odendahl, Christian Offermans, Maritta Paloviita, Niki Papadopoulou, M. Papoutsi, Matic Patriček, Adrian Penalver, Alexandru Penciu, Martin Pintarić, Sebastiaan Pool, Romanos Priftis, Dominic Quint, Ansgar Rannenberg, Tomas Reichenbachas, Joost Röttger, Valério Scalone, Alexander Scheer, Jan Scheithauer, Maximilian Schröder, Julian Schumacher, Fabian Schupp, Bernd Schwaab, Ifigeneia Skotida, Christian Speck, Arnoud Stevens, Manuela Storz, Martin Strukat, Jacek Suda, Marta Szablewksa, Dominik Thaler, Johannes Tischer, Andrea Tosato, Alejandro Van der Ghote, Georges Várhelyi, Sofia Rafaela Maito Velasco, Alexia Ventula-Veghazy, Igor Vetlov, Matjaž Volk, Julian von Landesberger, Leopold von Thadden, Johannes Wacks, Thomas Westermann, Ladislav Wintr, Srečko Zimic, Andrejs Zlobins, Klāvs Zutis, Elise Dupin, Luca Ebener, Ines Ferdandes De, Cian Hennigan, Edoardo Pilla, Anita Sammarini, Flavia Ungarelli
Bibliographic record
VenueSSRN Electronic Journal · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsBank of Canada
Fundersnot available
KeywordsMonetary policyComputer scienceEconomicsMacroeconomics
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.067
Threshold uncertainty score0.223
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.067 | 0.061 |
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 head0.018
GPT teacher head0.256
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations0
Published2025
Admission routes1
Has abstractno