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Record W2186524671

From Bad to Worse Twenty More Years of the Assault on the Public Sector

2015· article· en· W2186524671 on OpenAlexvenueno aff
Howard A. Doughty

Bibliographic record

Venue˜The œinnovation journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPublic sectorPrivate sectorEconomicsPublic interestGovernment (linguistics)Political economyPublic relationsPolitical scienceEconomic growthLawEconomy
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACTFor almost forty years, the ideology of neoliberalism consisting largely of a faith in the rationality of market-driven economies, the prudence of minimalist government and the wisdom of slashing social programs in the interest of maximizing individual choice has dominated the Anglo-American democracies and become the preferred and economic approach not only in liberal democracies but, increasingly in developing nations as well. In this context, public sector innovation has been assessed mainly in terms of promoting efficiencies and customer satisfaction rather than public investment and citizen participation. This reversal of post -World War II priorities and an expanding role for the public sector in both building infrastructure and providing social services has come at the insistence of private sector interests and has resulted, for example, in the popularity of the new public management in which government was to be judged according to its success in mimicking the 'business models of for-profit corporations. The results have included the demoralization of the public service, a decline in public services, labour, health and environmental regulations, widening gaps between rich and poor and a degradation of democracy itself. The restoration of the public interest and not the enhancement of corporate interests as the prime focus of public sector innovation is now overdue.IntroductionInnovation is a concept that many people believe exists in an inherently normless world. Although like it constructs, carries and conveys what are popularly called values, innovation is considered to be mainly an instrumental term. A reading of the literature suggests that it concerns methods more than objectives, that it is procedural more than substantive, that the means are more important than the ends.When assessing innovations, we commonly consider questions of efficiency and performance. Just as we can judge an automobile according to criteria such as fuel consumption and speed, so we can judge innovations according to the specific outcomes we expect them to achieve. Just as we do not judge the technical capacities of an automobile by the quality of the destination a driver chooses, so we do not judge the efficacy of an innovation by the wisdom, ethics or morality of the policy objective it was designed to fulfill. We are mostly interested in whether it did the job. Did it work?So, for example, innovations meant to redress educational inequalities among demographic groups can be evaluated in terms of statistical student retention and graduation rates. Likewise, innovations meant to reduce waste in government procurement programs can be objectively appraised in terms of the costs and quality of the materials purchased. As well, innovations meant to improve a country's geopolitical status can be measured in terms of the observable effects of starving an opponent into submission using economic sanctions or bombing a rival into surrender (or oblivion) using a massive military invasion, targeted assassinations or drone strikes launched from half a world away. Whether any of these projects is ethically defensible does not necessarily enter the equation. Innovations can be evaluated using both qualitative and quantitative data. Whether the innovation was used for good or evil is a matter of debate.Guns don't kill people. People kill people.- National Rifle AssociationTo a man with a hammer, everything is a nail.- Abraham MaslowThe preference of innovation theorists to focus on empirical measures of effectiveness and on how innovative techniques contributed to the success of programs but not on political decisions about the normative quality of policy aims has always perplexed me. Innovation, I believed (and continue to believe) cannot or, at least, ought not to be contemplated in a value-free world. Although, like technology, innovation is thought to be conceptually separate from the purposes to which it is put, in my view this is ontologically naive, epistemologically unsupportable, and ethically, morally and politically absurd. …

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.089
GPT teacher head0.341
Teacher spread0.252 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

Quick stats

Citations3
Published2015
Admission routes1
Has abstractyes

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