Assessing the Influence of a 360-degree Marketing Communications Campaign With 360-degree Feedback
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
Marketers realize the importance of 360-degree communication (reaching audience members in consistent but multiple ways) to improve brand salience, increase the effectiveness of behavior change strategies, and achieve organizational objectives. While several social marketing organizations have embraced the 360-degree approach, their effectiveness has not been adequately captured by research approaches such as 360-degree feedback. Our study addresses this gap by reporting the influence of Project Raksha (“protection” in Hindi), launched in November 2007 in the rural areas of four Indian states by Pathfinder International in support of government of India’s efforts to reduce maternal mortality and morbidity by promoting institutionalized delivery. The project designed specific interventions at the household, community, local government, and clinical levels to address four types of delays in response to obstetric complications. Westat India carried out postintervention-only evaluation by conducting self-report surveys and interviews with women and their influencers, community health workers, health service providers, and local government members. Findings revealed that most interventions proved effective in addressing the four types of delay that were key contributors to maternal mortality in the project areas. The 360-degree feedback mechanism allowed the social marketing organization to obtain a comprehensive grasp of its persuasion efforts. Achievements and failures were better captured and lessons better learned for future behavior change attempts.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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