MétaCan
Menu
Back to cohort
Record W1979713004 · doi:10.1002/pmj.21258

Sustainable Development in the Building Sector: A Canadian Case Study on the Alignment of Strategic and Tactical Management

2012· article· en· W1979713004 on OpenAlexaffabout
Benjamín Herazo, Gonzalo Lizarralde, Raymond L. Paquin

Bibliographic record

VenueProject Management Journal · 2012
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsConcordia UniversityUniversité de Montréal
Fundersnot available
KeywordsDocumentationBusinessProcess managementSustainable developmentProject managementStrategic planningStrategic managementKnowledge managementEngineering managementEngineeringMarketingPolitical scienceComputer scienceSystems engineering

Abstract

fetched live from OpenAlex

Increasingly, organizations view sustainable development principles as a key tool in aligning their strategic plans with specific objectives and procedures used for managing projects. However, more research is needed to identify how sustainable development contributes to aligning longer-term strategic management of clients in the building sector with their short-term needs for construction project management. We present a multicase study of three construction projects conducted by an institutional client in Canada, developed through a review and evaluation of project feasibility studies, construction project meeting transcripts, contract documentation, organization and policy documents, and seven semistructured interviews of managers involved in these projects. We found that the principles of sustainable development transcended both short-term needs and long-term responsibility, facilitating the alignment of the strategic and tactical plans.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.077
Threshold uncertainty score0.560

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0240.005
Scholarly communication0.0040.002
Open science0.0020.003
Research integrity0.0020.002
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 head0.178
GPT teacher head0.380
Teacher spread0.202 · 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

Citations40
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueProject Management JournalSame topicConstruction Project Management and PerformanceFrench-language works237,207