Klima-Kampagnen für europäische Städte : eine explorative Studie
Bibliographic record
Abstract
Literatur: Bonfadelli, Heinz & Friemel, Thomas N. (2020). Kommunikationskampagnen im Gesundheitsbereich. Köln: Herbert von Halem Verlag. Bonfadelli, Heinz & Schäfer Mike S. (2016). Umwelt- und Klimawandelkommunikation. In: Bonfadelli, H., Fähnrich, B., Lüthje, C., Milde, J., Rhomberg, M., Schäfer, M. (Hrsg.): Forschungsfeld Wissenschaftskommunikation. Wiesbaden: Springer VS. Donaldson, S., Van Oostdam, J., Tikhonov, C., Feeley, M., Armstrong, B., Ayotte, P., et al. (2010). Environmental contaminants and human health in the Canadian Arctic. Sci Total Environ, 408(22), 5165–0 5234. https://doi.org/10.1016/j.scitotenv.2010.04.059. Fachstelle 2000-Watt-Gesellschaft (2021). Klimaneutrale Städte im Vergleich. Abgerufen von https://www.stadt-zuerich.ch/content/dam/stzh/gud/Deutsch/UGZ/ugz/umweltpolitik/dokumente/KlimaneutraleSt%C3%A4dte_Netto-Null-Ziele-ImVergleich_v2021-03-26_final.pdf Fitts Willoughby, Jessica & Noar; Seth M. (2022): Fifteen Years after a 10-year Retrospective: The State of Health Mass Mediated Campaigns Journal of Health Communication 27(6):1-13: DOI: 10.1080/10810730.2022.2110627 Friemel, Thomas N. & Frey, Tobias (2018). Evidenzbasierte Kommunikationskampagnen: Organisationsstrukturen und Prozesse. In: Stehr, Paula; Heinemeier, Dorothee; Rossmann, Constanze. Evidenzbasierte | evidenzinformierte Gesundheitskommunikation. Baden-Baden: Nomos, 87-98. DOI: 10.5771/9783845291963-85 Harrington, D., & Elliott, S. (2015). Understanding emerging environmental health risks: a framework for responding to the unknown. The Canadian Geographer / Le Géographe Canadien, 59(3), 283–296. https://doi.org/10.1111/cag.12198. Kuckartz, Udo & Rädiker, Stefan (2022). Qualitative Inhaltsanalyse. Methoden, Praxis, Computerunterstützung. Weinheim und Basel: Beltz Juventa. Pearson, A., Ballew, M., Naiman, S., & Schuldt, J. (2017). Race, class, gender and climate change communication. Oxford Encylopedia of Climate Change Communication. Abgerufen von: https://doi.org/10.1093/acrefore/9780190228620.013.412. Ulrike Röttger, 2022. «Kommunikationskampagnen planen und steuern: Thematisierungsstrategien in der Öffentlichkeit». In: Ansgar Zerfaß & Manfred Piwinger & Ulrike Röttger (ed.), Handbuch Unternehmenskommunikation, edition 3, pages 519-540, Springer. DOI: 10.1007/978-3-658-22933-7_23
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.
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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.008 | 0.020 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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.
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.
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".