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Record W7133007947

Collaborative competitive relationships within an integrated public sector network

2004· dissertation· W7133007947 on OpenAlexfundaboutno aff
Peter Tsasis

Bibliographic record

VenueTSpace · 2004
Typedissertation
Language
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsnot available
FundersHealth Canada
KeywordsGovernment (linguistics)Process (computing)Social capitalSnowball samplingPosition (finance)Control (management)Competition (biology)Qualitative researchResource (disambiguation)Formality
DOInot available

Abstract

fetched live from OpenAlex

A phenomenon of recent times has been the increased complexity of society's problems and the need for organizations to work together to find solutions while in competition with each other for scarce resources. This has created the need to better understand how organizations can best collaborate under such conditions. A qualitative study was conducted. In all, twenty-one participants were purposefully selected through snowball sampling and interviewed. These were individuals who represented their organizations in an interorganizational effort to address mutual benefits or common interests through a process of information exchange and resource sharing. The nature of interorganizational relationships was determined by each participant verbalizing the contents and meanings of the contacts of his/her organization with other organizations within the action set. Results revealed that organizations that control vital resources to the operations of others are in a position to control the actions of others. They also revealed that social relationships developed through organizational interaction with the environment both facilitate and constrain organizational action. Most notably, organizations in relationships of dependency with the government can use social capital to access social networks in their communities to build countervailing power to change a relationship of compliance to one of collaboration. In addition, results reveled that collaboration is most likely to occur when organizations perceive their actions toward goal attainment to facilitate each other's goals and less likely to occur if there is a lack of perceived interdependence, a lack of shared ideology, and a lack of trust. This study's findings reveal the importance of forging social networks to gain leverage over constraining dependencies in resource dependence relationships. This study examines collaborative relationships in an action set of five national non-government AIDS organizations (NGOs) competing for funds, and having Health Canada as their main funder. The aim of the study was to better understand how social relationships embedded in the organizational environment shape interorganizational collaboration in relationships of dependency and what conditions support such organizational behavior. Resource dependence theory was used as the conceptual schema for explaining organizational behavior observed under conditions of resource scarcity, interdependence, and uncertainty, as these are key variables in relationship building among these organizations.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.005
Scholarly communication0.0070.009
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.135
GPT teacher head0.450
Teacher spread0.315 · 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 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
Published2004
Admission routes2
Has abstractyes

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