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Patterns of Canadian departmental survival

2011· article· en· W1513372318 on OpenAlexaboutno aff
Eleanor D. Glor

Bibliographic record

VenueCanadian Public Administration · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsnot available
Fundersnot available
KeywordsPublic sectorPrivate sectorPolitical scienceGovernment (linguistics)Public administrationLaw

Abstract

fetched live from OpenAlex

Assertions have been made about the immortality of public-sector organizations and the need for higher rates of termination of public-sector organizations. Research on the American federal government argued that such organizations had mortality rates lower than private-sector organizations. Better research demonstrated that the mortality of public-sector organizations has occurred at the highest rates observed in the private sector, where rates could be expected to be high because most organizations were very small. Mostly large public-sector organizations were examined in the U.S. – they should have had low mortality rates. What is the situation in Canada? How does Canadian survival of public-sector organizations compare to that in other sectors and other countries? This article compares the survival and mortality rates of Canadian public-sector organizations to those of the private sector and the non-profit sector. It also compares Canadian public-sector organizations to those in Ireland and the U.S., finding that Canadian federal organizations have not been immortal and that their mortality rates are among the highest detected. The pattern of Canadian public-sector organization terminations is punctuated equilibrium. Il y a eu nombre d'affirmations concernant l'immortalité des organisations du secteur public et le besoin d'avoir des taux plus élevés de fermeture de ces organisations. Des recherches entreprises sur le gouvernement fédéral américain ont montré que de telles organisations avaient des taux de mortalité inférieurs à ceux des organisations du secteur privé. Une recherche plus poussée a démontré que la mortalité des organisations du secteur public a atteint les taux les plus élevés observés dans le secteur privé, où l'on pouvait s'attendre à des taux élevés parce que la plupart des organisations étaient très petites. Les organisations gouvernementales qui ont été examinées aux États-Unis étaient essentiellement de grosses organisations et auraient dû avoir de faibles taux de mortalité. Quelle est la situation au Canada? Comment la survie des organisations canadiennes du secteur public se compare-t-elle à celle d'organisations dans d'autres secteurs et d'autres pays? Le présent article compare les taux de survie et de mortalité des organisations canadiennes du secteur public à ceux des organisations du secteur privé et du secteur à but non lucratif. Il compare également les organisations canadiennes du secteur public à celles de l'Irlande et des États-Unis, concluant que les organisations fédérales canadiennes ne sont pas immortelles et que leurs taux de mortalité sont parmi les plus élevés qui soient. Le mode de fermeture des organisations du secteur public au Canada est en équilibre intermittent.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.087
GPT teacher head0.286
Teacher spread0.199 · 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.

Study designObservational
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

Citations14
Published2011
Admission routes1
Has abstractyes

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