Towards a critical theory of value creation in cross-sector partnerships
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
This article develops a critical theory of value creation in cross-sector partnerships by recasting value creation from the standpoint of the beneficiary. We first explain how distinct combinations of principles, relations and relational processes set largely non-overlapping foundations for conceptualizing the role of the beneficiary in value creation within Marxist, pragmatist and Frankfurt schools of thought. We introduce the construct of beneficiary voice to delineate and illustrate three distinct roles that beneficiaries may play in value creation in cross-sector partnerships: voice-receiving, voice-making and voice-taking. We then focus on the generative tensions to bridge value creation arguments across these three critical theories and thus contribute an overtly socialized and explicitly relational foundation of value creation in cross-sector partnerships.
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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 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it