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Record W1915347160 · doi:10.1177/0020852315576711

Stakeholder responses to government austerity: what happens when strong stakeholders fail to react?

2015· article· en· W1915347160 on OpenAlexaffabout
Ken Ogata

Bibliographic record

VenueInternational Review of Administrative Sciences · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsYork University
Fundersnot available
KeywordsLegitimacyStakeholderAusterityGovernment (linguistics)Public relationsCompromiseChampionPublic administrationPower (physics)ExcellencePolitical scienceBusinessPoliticsLaw

Abstract

fetched live from OpenAlex

Using stakeholder theory and a historical case study, I examine how key stakeholders failed to challenge the Alberta provincial government’s fiscal reforms, leading to the emergence of an unlikely champion in the Calgary hospital laundry workers. Notwithstanding that several prominent and powerful professional groups had the opportunity to oppose the government’s reforms, these groups either acquiesced or sought compromise individually with the government. This case calls into question the professions’ ability to protect public institutions under their domain. Points for practitioners In terms of potential implications for public administrators, this case provides an example of professional failure to intercede in the public interest, despite having the power and legitimacy to act according to stakeholder theory. This raises questions as to the circumstances under which professional groups will exercise their advocacy role. Unaddressed are the conditions under which relatively powerless demanding stakeholders can acquire power and legitimacy. Accordingly, administrators ‘relying’ upon established stakeholders as barometers of public opinion may misread public sentiment.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.750
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.312
GPT teacher head0.369
Teacher spread0.058 · 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 routes2
Has abstractyes

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