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Enabling Industrial Ecology through the Forecasting of Durable Goods Disposal: Televisions as an Exemplar Case Study

2004· article· en· W2030919796 on OpenAlexaffvenue
Jonathan D. Linton, Julian Scott Yeomans, Reena Yoogalingam

Bibliographic record

VenueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsYork University
Fundersnot available
KeywordsObsolescenceReuseIgnoranceWelfare economicsEconomyEnvironmental economicsEngineeringEconomicsBusinessLawPolitical scienceWaste managementMarketing

Abstract

fetched live from OpenAlex

Abstract A lack of understanding of the waste flow of durable goods complicates decision making, especially in the face of technological change and obsolescence. To address the problem, this study considers the modeling of the waste flow of durable goods, using televisions to illustrate the requirements for forecasting and the magnitude of the associated uncertainty. A combination of laws in various jurisdictions and the emergence of alternate technology trajectories for televisions—the flat panel display and phase‐out of analogue broadcasting— make this example particularly timely. The findings suggest that the reuse of lead‐containing cathode ray tube (CRT) glass is worth consideration, even though the adoption of flat panel TV technology will eliminate this controversial waste stream at some point in the future. The findings also indicate the range of the quantity of waste that can be displaced from municipal landfills and requires an alternative collection infrastructure, important information for both developing a collection infrastructure and processing alternatives to extract the residual value of the discarded televisions. Résumé L'ignorance du flux des déchets des biens durables rend la prise de décision difficile, surtout au regard du contexte technologique actuel marqué par l'obsolescence et le changement. La présente étude, qui s'appuie sur la gestion des déchets de télévision pour mettre en exergue les impératifs d'une approche préventive et l'ampleur de l'incertitude qu'elle comporte, se propose d'aborder le problème sous l'angle d'une modélisation du flux des déchets des biens durables. L'exemple utilisé est d'autant plus indiqué qu'on note une combinaison de lois dans diverses juridictions et l'apparition des lignes de technologie alternative pour la télévision, avec l'affichage sur écrans plats et l'abandon progressif de la radiodiffusion analogique. Les conclusions de notre étude indiquent que la réutilisation des tubes cathodiques en verre contenant du plomb (CRT) est une solution qui mérite d'être envisagée, même s'il est vrai que l'adoption de la technologie des écrans plats éliminera, avec le temps, ce flux de déchets. Les résultats montrent également qu'il faudra disposer de beaucoup d'informations pour développer de nouvelles infrastructures de collectes et de traitements des déchets (par exemple les télévisions en panne) qui ne pourront plus être déposés dans les décharges municipales, et pour l'extraction de leur valeur résiduelle.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.005
Scholarly communication0.0000.002
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 head0.168
GPT teacher head0.352
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

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

Citations9
Published2004
Admission routes2
Has abstractyes

Explore more

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