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Record W7047869199

Jack Patterson / Ford Niagara Glass Plant Fonds, 1964-2006, n.d.

2023· other· en· W7047869199 on OpenAlexaffabout

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2023
Typeother
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsBrock University
Fundersnot available
KeywordsSeveranceNoticeClosing (real estate)Allowance (engineering)Job loss
DOInot available

Abstract

fetched live from OpenAlex

The Ford Motor Company of Canada opened a glass plant in Niagara Falls, Ontario, in 1961. It was located in a rural area south of the Welland River and west of the QEW. The plant specialized in manufacturing windshields, lights and windows for Ford’s vehicles. Plate or sheet glass was purchased from outside vendors and then transformed into specialized products at the plant. A major expansion to the plant was added in the early 1970s. Business fluctuated over the years, sometimes resulting in layoffs or expansions. The plant was noted for its safety record and productivity, but the Free Trade Agreement in 1988 led to layoffs. In early 1993 Ford announced that it would be permanently closing the plant. Many employees opted to retire or accept severance packages, while others continued their employment with Ford at the Oakville Assembly Plant. The Ford Niagara Glass plant was subsequently sold to E.S. Fox Ltd. Jack Patterson was an employee at the Ford Niagara Glass plant. When it was announced in January 1993 that the plant would be closing, employees were presented with several options. One of these options was a job at the Ford Oakville Assembly Plant. Patterson decided to accept this offer with the assurance that his benefits would transfer with no break in seniority. In October 1998, he received written notice from the Ford Motor Company that in the event of a job loss, his eligibility for a special allowance would be based on his date of entry at the Oakville plant and not his date of entry with the Company. This was contrary to his understanding of seniority and benefits surrounding the transfer. Patterson pursued the matter with the CAW and the Ford Motor Company of Canada, which eventually resulted in a hearing before the Ontario Labour Relations Board.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.319
Threshold uncertainty score0.971

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.3190.105

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 head0.010
GPT teacher head0.184
Teacher spread0.173 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes2
Has abstractyes

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