jppm-contribution-framing
GitHub用于优化JPP&M论文的300字政策贡献声明及建议。确保内容聚焦具体利益相关者、在其职权范围内，并严格基于实证结果，避免空泛或过度倡导，提升政策可操作性与学术严谨性。
Trigger Scenarios
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jppm-contribution-framing -g -y
SKILL.md
Frontmatter
{
"name": "jppm-contribution-framing",
"description": "Use when sharpening the policy contribution of a Journal of Public Policy & Marketing (JPP&M) manuscript — the 300-word Policy Contribution Statement, regulator-actionable implications, and the line between evidence and advocacy. Frames the contribution; it does not produce the estimates (jppm-data-analysis)."
}
Contribution Framing (jppm-contribution-framing)
When to trigger
- The Policy Contribution Statement draft is generic or missing one of its three required elements
- The implications section says "policymakers should consider" and stops
- Findings are solid but you cannot connect them to a decision anyone faces
- The paper drifts into recommending policies the data never tested
- Reviewers might read the framing as advocacy rather than evidence
The Policy Contribution Statement is the contribution
JPP&M requires every submission to open the main document with a Policy Contribution Statement of at most 300 words (it does not count against the 50-page cap). It must do three things, per the journal's guidelines: (1) name the policy conversation the paper initiates or joins; (2) state how the manuscript moves understanding beyond the existing marketing-and-public-policy literature; (3) identify which specific policy stakeholders are affected and how. Treat this statement as the paper's thesis, not an administrative form — editors use it for desk-screening and reviewers read it first. If the statement cannot be written crisply, the problem is upstream (fit or evidence), not wording.
A working shape: "Agencies X and Y are currently deciding D. Existing work establishes A but cannot tell them B. Using [design], we show E [magnitude, for whom]. This implies stakeholder X should [specific action within its authority], while marketers subject to the rule should [specific response]."
The actionability test
For each implication, ask four questions; all must pass:
- Named actor — a specific body (FTC, FDA, CFPB, USDA, state AGs, a self-regulatory program like CARU/NAD, an NGO, or firms facing the rule), not "policymakers."
- Within authority — the action lies inside that actor's legal instruments. Recommending the FTC set nutrition standards, or the FDA police deceptive pricing, signals the authors don't know the terrain.
- Evidence-linked — the recommended choice is one the paper's contrasts or estimates actually inform. If you tested icon vs. text warnings, you can advise on format — not on whether warnings beat taxes.
- Concrete enough to implement or reject — a reader at the agency could put it into a rule, guidance, enforcement priority, or comment letter tomorrow.
Marketers are stakeholders too: what should a compliant firm change in labeling, targeting, data practice, or claims substantiation? A JPP&M implication set that speaks to both the regulator and the regulated is stronger than one that lectures only the agency.
Evidence, not advocacy
JPP&M welcomes normatively motivated questions but punishes advocacy untethered from results. Discipline the frame: report what the intervention does and does not achieve; keep recommendation strength proportional to identification strength (a lab study "suggests"; a well-identified evaluation "shows"); surface the trade-offs (costs to firms, burden on consumers, speech concerns) even when they cut against the preferred conclusion. Papers that acknowledge the strongest counterargument to their own implication read as trustworthy; papers that hide it read as briefs.
Calibrating claims to evidence
- Scope: bound the claim to the tested population, product category, and format; flag the extrapolation needed to reach the policy scale.
- Magnitude honesty: lead with the decision-unit effect and its CI, not with the significance.
- Null and backfire results are contributions: "the mandated format does not help, and here is why" is publishable and policy-critical here — do not bury it.
- One primary implication: a single well-defended recommendation beats a scattershot list of six.
Checklist
- Policy Contribution Statement ≤300 words, covering conversation / advance / stakeholders
- Every implication names an actor, sits within its authority, and is evidence-linked
- Implications address both regulator and regulated marketers where relevant
- Recommendation strength matches identification strength
- Trade-offs and the strongest counterargument are stated
- Nulls, boundary conditions, and unintended effects appear in the framing, not the footnotes
Anti-patterns
- The bolted-on paragraph: a consumer study with policy vocabulary appended in the discussion — JPP&M's signature desk reject
- Ghost-actor implications: advice addressed to "policymakers" or "society"
- Authority errors: recommendations outside the named agency's legal instruments
- Advocacy leakage: recommendation strength driven by conviction rather than estimates
- Implication inflation: six recommendations from one manipulation
- Buried backfire: an unintended consequence found in the data but absent from the statement
Output format
【Policy Contribution Statement】conversation / advance / stakeholders (≤300 words, drafted)
【Primary implication】named actor + instrument + specific action
【Marketer-facing implication】what regulated firms should change
【Evidence link】which estimate licenses each recommendation
【Trade-offs stated】costs, burdens, counterargument acknowledged? [Y/N]
【Next skill】jppm-tables-figures
Version History
- 9f86f09 Current 2026-07-19 16:48
