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Record W862226507

Wicked Environmental Problems: Managing Uncertainty and Conflict

2012· article· en· W862226507 on OpenAlexvenueno aff
Michael W. Popejoy

Bibliographic record

Venue˜The œinnovation journal · 2012
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
Fundersnot available
KeywordsWicked problemFunctional illiteracySocial issuesSociologyPovertyLawPolitical scienceEconomicsManagement
DOInot available

Abstract

fetched live from OpenAlex

Peter J. Balint, Ronald E. Stewart, Anand Desai and Lawrence C. Walters Wicked Environmental Problems: Managing Uncertainty and Conflict Washington, DC: Island Press, 2011Reviewed by Michael W. PopejoyWe all know about problems, and the various definitions of problems: complex problems, critical problems, intractable problems, problems with rational solutions, and problems that resist rational In the field of public health, we grapple with social problems that cause poor health outcomes such as lack of education, poverty, illiteracy, lack of access to health care facilities, etc.Yet, here comes a more recent; and more complicated order of problems called And, by wicked, the meaning is clear when we examine the characteristics of this category of problems. Wicked problems resist rational solutions; indeed, it is possible that truly wicked problems have no solution whatsoever that will satisfy everyone that are affected by the problem under study. Obviously, those people who solve problems and those people are affected by problems certainly resist hearing that any problem is most likely irresolvable.A wicked problem is characterized by a high degree of scientific uncertainty and deep disagreement on values. (p. 2). Consequently, there is no single, correct, optimal solution. So, in effect, wicked problems have no single best solution which can be a cause for concern for many whose job it is to solve social and environmental problems. When scientific uncertainty meets profound differences in perceptions, attitudes, and values of the key stakeholders, we have problems that any solution will be almost impossible to satisfy everyone involved.Many, if not all, social problems possess a high level of complexity and social conflict. The usual method of problem structuring and analysis fail to help us arrive at a solution; thus the reliance on technical analysis alone is not possible. Problems take on a complexity that often extends well beyond the merely intricate and assumes many forms, including high levels of risk; scientific uncertainty; biological complexity; social complexity; vast scope and scale of issues involved; and the absence of a clear public consensus on values, the nature of the problem, or acceptable solutions. (p. 9). When the relationship between an action and its outcome is clear, we have a programmed decision; and this poses few problems in implementation since the science is clear and the values are well established and widely agreed upon. Such is not for the wicked problem.The authors provide the readers with a ten point set of characteristics by which to identify the wicked problem: there is no definitive formulation of the wicked problem; wicked problems have no stopping rule; solutions are not true or false, but good or bad or satisfying or good enough; there is no immediate and no ultimate test of a solution; there is no opportunity to learn by trial and error (it is a one shot operation); they do not have a set of potential solutions; every wicked problem is essentially unique; every wicked problem can be considered a symptom of another problem; the existence of a discrepancy representing a wicked problem can be explained in numerous ways; the planner has no right to be wrong (p. …

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0110.047
Scholarly communication0.0290.029
Open science0.0030.020
Research integrity0.0080.013
Insufficient payload (model declined to judge)0.0080.001

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 head0.140
GPT teacher head0.360
Teacher spread0.220 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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