Corporate social responsibility and its role in the Colombian armed conflict
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
BloUiN, chantal ConclusionThe mining sector is one area where Canada has a significant economic footprint in lac. to protect canadian interests and to promote long-term economic and human development in the region, Canada should position itself as a leader in building capacity for better regulation and governance of the mining sector and on corporate social responsibility in LAC.Improving the central and local governments' capacity to regulate and supervise the activities of mining companies should be, in the long term, Canada's priority in terms of maximising the positive impacts and minimizing the negative consequences of mining activities.As the capacity of national government in countries improve, CSR would become a second-best option, less necessary as the regulatory and legislative frameworks would be put in place and implemented effectively.For Canada to be a true leader in the Hemisphere in governance in mining, Canada should inspire its Hemispheric partners by bold and innovative initiatives.Many interviewees considered the openness and transparency associated with the federal government's 2006 national roundtables on CSR to be a good example of an innovative practice where Canada was leading by example.Our capacity building activities should be inspired by the same spirit.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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