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Record W2763829909

Fighting Fires Together: Essays on Alliances among Fire Departments

2012· dissertation· en· W2763829909 on OpenAlexfundno aff
Jay R. Horwitz

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsForensic engineeringEngineeringPolitical scienceArchitectural engineering
DOInot available

Abstract

fetched live from OpenAlex

Organizations enter into strategic alliances for economic value that cannot be achieved by working alone. Despite the potential benefits many alliances fail to meet their goals, destroy value, and end in termination. Success within alliances is neither automatic nor assured. The ways that organizations arrange their alliances to contend with impediments to success is of great practical and theoretical importance. This thesis studies how formal and informal arrangements arise over time and influence the performance of U.S. fire departments.
\nThe first study empirically describes how formal contracting influences performance of the alliance and its members. I analyze a sample of responses by US fire departments to fires over 11 years, and I describe how contracting affects four dimensions of performance: arrival minutes, resolution minutes, property damage, and casualties. I find (i) the effect of contracts varies across qualitatively different outcomes, (ii) that contracts deliver separate costs and benefits at the level of the alliance and the organization, and (iii) that estimates are sensitive to matching on pre-contracting covariates including social context. The second study examines the role played by social context in contracting. Looking at the hazard of contracting between pairs of alliance partners I examine the effects of increased embeddedness in (i) focal relationships and in (ii) networks of outside relation- ships. I find that qualitative differences in prior interactions partly explain the decision to formally contract. I find that differences in arrangements with other partners affect formal contracting both directly and indirectly through interpretations of dyadic history. These findings suggest that models of relational mechanisms that accumulate within a relationship work both in parallel and interactively with broader social networks. The third study investigates how the design of alliances affects the performance of their members. I distinguish between (i) the extent to which departments rely on their own resources versus those of their alliance partners, (ii) the formality of arrangements, and (iii) performance in terms of property damage and casualties. I find that formal contracts are needed to improve some aspects of performance while informal arrangements are sufficient for others. This finding suggests a nuanced relationship among alliance structures and outcomes.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.639
Threshold uncertainty score0.976

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0250.000

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 head0.039
GPT teacher head0.352
Teacher spread0.313 · 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 designQualitative
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

Citations0
Published2012
Admission routes1
Has abstractyes

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