The role of local cultural factors in the achievement of the sustainable development goals
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.
Bibliographic record
Abstract
Abstract The sustainable development goals (SDGs) are the greatest agreement achieved among countries. However, international policies such as the SDGs usually forget to include local cultural factors that would enable their achievement. Culture and sustainability have been studied in several contexts; however, the role that local culture plays in achieving sustainability has not been fully explored. This research addresses that gap by focusing on the SDGs globally and according to countries' income, continent, and region of origin. Hypotheses are tested through regression models using Hofstede's six cultural dimensions at the country level and the countries' overall and partial SDG scores. Results highlight significant relationships between cultural dimensions and countries' SDG scores in general and for groups of countries, and between cultural predictors and SDGs. Overall, power distance and masculinity contribute negatively to sustainability, whereas individualism, uncertainty avoidance, long‐term orientation, and indulgence affect sustainability positively. However, results vary across regions and SDGs. This article contributes with recommendations for policy and decision‐makers to address local SDGs and manage the different cultural dimensions of countries toward the accomplishment of sustainability. Certainly not an easy task.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it