MétaCan
Menu
Back to cohort
Record W2128362883 · doi:10.1177/1086026615575333

Organizational Perspectives of Industrial Symbiosis

2015· article· en· W2128362883 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOrganization & Environment · 2015
Typearticle
Languageen
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsConcordia University
FundersConcordia University
KeywordsIndustrial symbiosisScholarshipBusinessKnowledge managementOrganizational ecologyPhenomenonOrganizational studiesSociologyOrganizational learningPolitical scienceEngineeringComputer scienceEpistemologySocial science

Abstract

fetched live from OpenAlex

Industrial symbiosis (IS) is a collaborative environmental action whereby firms share or exchange by-products, materials, energy, or waste as a way to economically reduce aggregate environmental impact. Research in IS has flourished over the past two decades, and the time is ripe for a coherent review of organizational perspectives on the topic, particularly since the practice of IS is rife with difficulties often attributed to “social” factors. We review the organizational perspectives found in IS literature using a two-dimensional framework considering the antecedents, consequences, lubricants, and limiters of IS assessed through institutional, network/system, organizational, and individual levels of analysis. Our framework highlights what organizational perspectives have been adopted so far and also points to avenues of future scholarship of this unique phenomenon.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
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 head0.016
GPT teacher head0.180
Teacher spread0.163 · 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