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Record W2437854040 · doi:10.1680/mpal.14.00023

Adoption of knowledge management by Canadian housing charities

2015· article· en· W2437854040 on OpenAlex
Anna Perreira, Jeff H. Rankin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Management Procurement and Law · 2015
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsKnowledge managementBusinessWork (physics)Profit (economics)Information technologyEngineeringComputer scienceEconomics

Abstract

fetched live from OpenAlex

Many researchers have focused on the adoption and associated challenges of knowledge management tools in the commercial construction sector. However, few have investigated the usage and effectiveness of such tools and their adoption in the non-profit sector. Accordingly, ongoing action research principles are used to provide insights into preferred types, challenges of adoption, and qualitative and quantitative impacts of utilising knowledge management tools in a large and a small Canadian housing charity. Preliminary results indicate preference towards a combination of information technology and non-information technology tools for both charities. Barriers included inadequate technical capability, time and financial constraints; and improved efficacy of organisational knowledge management practices. The paper contributes to the construction engineering management sphere in academia and industry by exploring the knowledge management theme through the application of action research methods. Future work focuses on developing a roadmap for knowledge management in construction non-profit volunteer organisations.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.044
GPT teacher head0.269
Teacher spread0.225 · 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