Seeing Beyond the Here and Now: How Corporate Purpose Combats Corporate Myopia
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
Corporations are currently confronting major, interlocking crises, including climate change, biodiversity loss, inequalities, and social isolation. When under threat, executives tend to focus inward and on the short term. This is particularly unfortunate because it is in such crises that executives need to see beyond the here and now in order to ride the storms. In this paper, we argue that corporate purpose helps organizations fight such myopia and offer four mechanisms through which this works: exposing new insights, seeing issues holistically, helping to sustain focus, and bringing unity and direction. History: This paper has been accepted for the Strategy Science Special Issue on Corporate Purpose. Funding: The authors acknowledge the generous funding from the Social Sciences and Humanities Council of Canada [Grant 895-2015-0026] that contributed to the broader project in which these ideas were generated.
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 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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