Institutional investors and shareholder engagement: The Fonds Desjardins
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
Following in the footsteps of the celebrated California Public Employees’ Retirement System (CalPERS), more and more institutional investors are developing policies governing their proxy voting rights at annual general meetings to clearly express shareholders’ interest in environmental, social, and corporate governance issues. They are also increasingly numerous in promoting responsible investment practices through these policies. The object of this study is to examine the extent to which votes cast by the Fonds Desjardins, a major Canadian institutional investor, at the annual general meetings of firms in which it invests comply with its proxy voting rights policy and its public commitment to the social responsibility of these firms. The analyses were based on the votes recorded on the Fonds Desjardins website from July 1, 2018, to June 30, 2019. Of the 168 votes analysed, 35 did not comply with the Fonds’ policy, reflecting a non-compliance rate of 20.8%. The analyses show that votes on environmental issues are the most diverged from the institution’s policy during the period under study. Overall, the results indicate that the votes cast by the Fonds Desjardins at annual general meetings do not always correspond to the Fonds’ proxy voting rights policy. These findings raise questions about the real motivation behind such policies. Are they a genuine or a symbolic tool?
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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