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Record W6948689441 · doi:10.5281/zenodo.10977218

Data and literature repository for "Climate Futures are Political Futures: Integrating Political Development Into the Shared Socioeconomic Pathways (SSPs)"

2024· dataset· en· W6948689441 on OpenAlexaff

Bibliographic record

VenueIIASA PURE (International Institute of Applied Systems Analysis) · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsCarleton University
Fundersnot available
KeywordsPoliticsGovernment (linguistics)Sustainable developmentCorporate governanceFutures contractFutures studiesTable (database)Environmental governance

Abstract

fetched live from OpenAlex

The datasets provided in the repository (listed in Table 1 of the manuscript): Governance (Andrijevic et al., 2020)* Government effectiveness (Andrijevic et al., 2020)* Violent conflict (Hegre et al., 2016) Rule of law (update to the Soergel et al., 2021) *Please note that these two variables can be found in the same data file. The indicators can also be retrieved through the SSP Extensions Explorer. For applications of the projections of political indicators in further analyses, please consult the following references: Brutschin, E., Pianta, S., Tavoni, M., Riahi, K., Bosetti, V., Marangoni, G., & Van Ruijven, B. J. A multidimensional feasibility evaluation of low-carbon scenarios. Environmental Research Letters 2021, 16(6), 064069. Gidden MJ, Brutschin E, Ganti G, Unlu G, Zakeri B, Fricko O, et al. Fairness and feasibility in deep mitigation pathways with novel carbon dioxide removal considering institutional capacity to mitigate. Environmental Research Letters 2023, 18(7): 074006. Hoch JM, de Bruin SP, Buhaug H, Von Uexkull N, van Beek R, Wanders N. Projecting armed conflict risk in Africa towards 2050 along the SSP-RCP scenarios: a machine learning approach. Environmental Research Letters 2021, 16(12): 124068. Joshi DK, Hughes BB, Sisk TD. Improving governance for the Post-2015 Sustainable Development Goals: Scenario forecasting the next 50 years. World Development 2015, 70: 286-302. Moyer JD. Blessed are the peacemakers: The future burden of intrastate conflict on poverty. World Development 2023, 165: 106188. Moyer JD, Turner SD, Meisel CJ. What are the drivers of diplomacy? Introducing and testing new annual dyadic data measuring diplomatic exchange. Journal of Peace Research 2021, 58(6): 1300-1310. Petrova, K, Olafsdottir, G, Hegre, H, Gilmore, EA (2023). The ‘conflict trap’ reduces economic growth in the shared socioeconomic pathways. Environmental Research Letters, 2023, 18(2), 024028.

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 imitation

Not 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)0.003
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.437
Threshold uncertainty score0.803

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.058
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0160.033
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0030.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4370.178

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 head0.023
GPT teacher head0.291
Teacher spread0.268 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes1
Has abstractyes

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