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Record W2805817004 · doi:10.1007/s10551-018-3922-2

Cross-Sector Partnerships for Systemic Change: Systematized Literature Review and Agenda for Further Research

2018· review· en· W2805817004 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Business Ethics · 2018
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMultidisciplinary approachContext (archaeology)Extant taxonQuality of Life ResearchBusiness ethicsPolitical scienceSociologyEngineering ethicsPublic relationsSocial scienceMedicineEngineeringPublic health

Abstract

fetched live from OpenAlex

The literature on cross-sector partnerships has increasingly focused attention on broader systemic or system-level change. However, research to date has been partial and fragmented, and the very idea of systemic change remains conceptually underdeveloped. In this article, we seek to better understand what is meant by systemic change in the context of cross-sector partnerships and use this as a basis to discuss the contributions to the Thematic Symposium. We present evidence from a broad, multidisciplinary systematized review of the extant literature, develop an original definition of systemic change, and offer a framework for understanding the interactions between actors, partnerships, systemic change, and issues. We conclude with some suggestions for future research that we believe will enhance the literature in its next phase of development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.770
GPT teacher head0.499
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it