MétaCan
Menu
Back to cohort
Record W2550770476

Water Soft-path Application in Industrial Systems: A Pulp and Paper Case Study

2007· dissertation· en· W2550770476 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.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUWSpace (University of Waterloo) · 2007
Typedissertation
Languageen
FieldEngineering
TopicMaterial Properties and Processing
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsPulp (tooth)EngineeringPulp and paper industryDentistryMedicine
DOInot available

Abstract

fetched live from OpenAlex

Freshwater availability, allocation and quality are increasingly becoming a concern in Canada. Canada’s apparent availability of abundant freshwater is not what it was thought to be. With increasing competition for water sources and inadequate management systems water use and management approaches are being re-examined. While urban and municipal water uses are highly studied, Canadian industrial water use is not. Despite that industrial water use is understudied, the Canadian pulp and paper industry is a major user of water and contributes to quality water issues where mills are located. This thesis is divided into two equally important parts. First, this research seeks to understand the influences and prevailing conditions on the decision-making framework of pulp and paper mills. Second, it seeks to understand how the prevailing conditions affect the applicability of the water soft-path concept in the pulp and paper industry. It will contribute to the literature of Canadian industrial water management. 
\n
\nThis research specifically examines the applicability of the water soft-path concept under the stresses and realities of the systems of influence identified as market forces, policy and regulation, and technology faced by the Canadian pulp and paper industry. Corporate culture was an implicitly common thread that ran through these systems of influence. A variety of methods were used in this study including, a literature review conducted by themes, surveys, interviews, analysis of archival data and backcasting were used as the methodological approaches. The literature review was conducted by themes of water management, technology, market forces, regulation and corporate culture. Surveys were conducted to gain water use data from specific mills but a low response rate required a widening of the research boundaries. Interviews were conducted with government officials, industry representatives, and environmental non-governmental organizations. The interviews contributed to the boundary setting and understanding of the influences that impact decision-making for industry. The analysis of archival data was to better understand how water use in pulp and paper mills has changed through the years. Understandably the systems of influence (market forces, policy and regulation, and technology) work independently and together to create a complex environment in which decisions on water use in pulp and paper mills are made. The complexity of the decision-making framework is great and the barriers to water soft-path application difficult. 
\n
\nMarket forces are less capable of addressing environmental externalities such as water. Regulation and policy has yet to address water use in industry. Technology does provide an important opportunity for efficient water use and application of the pulp and paper industry. Ultimately, the Canadian pulp and paper industry is in a redefining moment where opportunity exists to create a new direction and approach to water use in the Canadian pulp and paper industry.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.961

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)0.0000.000

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 head0.014
GPT teacher head0.201
Teacher spread0.187 · 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