The Sustainable Development Goals and Your Community Foundation - Guidebook and Toolkit
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
This Sustainable Development Goals (SDGs) Guidebook and Toolkit is meant for staff and board members of community foundations at all stages of engaging with the SDGs.The Guidebook and Toolkit is intended to meet community foundations where they are at, to provide practical examples, ideas and steps for aligning current community foundation work with the SDGs, and to provide next steps to deepen their impact through the SDGs. This document is divided into two sections. The first section is an SDG Guidebook. It will introduce the SDGs and provide global, national and local context for the Goals. It will explain why Community Foundations of Canada (CFC) and community foundations are well positioned to align with the SDGs and how the SDGs can deepen collective impact.The Guidebook includes:* An overview of the 2030 Agenda and the SDGs* How the global community came together to adopt the SDGs* Key concepts that underlie the SDG Framework and relevance to the work of community foundations* What CFC is doing to advance the SDGsThe second section of this document identifies practical approaches to align current work to the SDGs through an SDG Toolkit. In many cases, community foundations in Canada are already doing work towards meeting the SDGs, and the Toolkit is designed to show how to align current work with the SDG Framework.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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