Future-Time Framing: The Effect of Language on Corporate Future Orientation
Why this work is in the frame
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Bibliographic record
Abstract
We examine how international variation in corporate future-oriented behavior, such as corporate social responsibility and research and development investment, could partially stem from characteristics of the languages spoken at firms. We develop a future-time framing perspective rooted in the literatures on organizational categorization and framing. Our theory and hypotheses focus on how companies with working languages that obligatorily separate the future tense and the present tense engage less in future-oriented behaviors, and this effect is attenuated by exposure to multilingual environments. The results based on a large global sample of firms from 39 countries support our theory, highlighting the importance of language in affecting organizational behavior around the world. The online appendix is available at https://doi.org/10.1287/orsc.2018.1217 .
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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