Ideological Challenges to Changing Strategic Orientation in Commodity Agriculture
Bibliographic record
Abstract
Why do some firms not change their strategic orientation despite economic incentives to do so? Most current literature on changing strategic orientations has focused on an antecedents and outcomes approach to business orientations. Intimated, but rarely addressed, are the notions that (1) strategic orientations may be thought of as ideologies and (2) such ideologies are likely to contend with each other. Taking such a perspective may be helpful in discussing why it is challenging to transition to more sustainable strategic orientations even in the presence of financial incentives to do so. In assessing the transition to organic production and marketing in a commodity agriculture context, the authors find that contending ideologies restrict its adoption. In addition, they suggest that strategic orientations are not adopted or contested solely within firms but also among them. The authors find that ideological contestation among firms in this context takes the form of a marketplace drama between a chemical, productionist orientation and an organic orientation in which protagonists mobilize several forms of legitimacy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".