MétaCan
Menu
Back to cohort
Record W3176886816 · doi:10.5130/cjlg.vi24.7739

Localising the Sustainable Development Goals in Africa: implementation challenges and opportunities

2021· article· en· W3176886816 on OpenAlex

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

VenueCommonwealth Journal of Local Governance · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsWestern University
Fundersnot available
KeywordsSustainable developmentTimelineAction (physics)Political scienceLocal governmentGovernment (linguistics)RhetoricLocal DevelopmentMillennium Development GoalsEconomic growthEnvironmental planningPublic administrationRegional scienceSociologyGeographyEconomicsLaw

Abstract

fetched live from OpenAlex

At the point of adopting the Sustainable Development Goals (SDGs), Africa’s starting point on almost all dimensions of development was much lower than that of other regions of the world. Thus, SDG progress on the continent determines to a large extent whether the global SDG commitment to ‘leave no one behind’ remains rhetoric or becomes reality. Local government action is critical to the achievement of the SDGs, as most services provided at the local level have a direct impact on SDG indicators. This paper reflects on the first quadrennial review cycle of the SDGs, and highlights challenges encountered in localising the SDGs in sub-Saharan Africa. Furthermore, the paper contributes to the ongoing strategising for the remaining timeline of the SDGs and analyses the opportunities for local governments to contribute to SDG implementation. The paper also seeks to inform policy action to strengthen local capacity to drive the SDGs agenda in the ‘Decade of Action’ (2020–2030).

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.154
GPT teacher head0.292
Teacher spread0.138 · 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