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Record W7071769338

Theatrical Seat Moving System

2019· report· en· W7071769338 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.

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

VenueMspace (University of Manitoba) · 2019
Typereport
Languageen
FieldSocial Sciences
TopicKnowledge Societies in the 21st Century
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Space (punctuation)Set (abstract data type)Face (sociological concept)Order (exchange)Movie theater
DOInot available

Abstract

fetched live from OpenAlex

Palliser furniture is a Winnipeg-based company that manufactures different types of upholstered products available in Mexico, United States, and Canada. One of Palliser’s popular upholstery that can be found in many theaters today is their Encore Cinema Seats. A problem that all Palliser’s theater clients face daily is the cleaning behind and underneath the seats. The current process for cleaning underneath recliners is ineffective and difficult to perform because the chair itself is in the way during cleaning. Palliser’s customers have reported that the annual cost of cleaning is about half a million dollars. In this project, the team is tasked by Palliser to design a system that will improve the current cleaning process. The team set a goal to improve the cleaning process which will bring the reported annual cost down 25%, decrease cleaning time by at least 50%, and make the cleaning process more ergonomic. The team created a design space to begin generating concepts that will solve the problem. A screening was done on the design space to eliminate incompatible alternatives with the design constraints. The screening gave us ideas on how the recliners can possibly be moved in order to expose the space underneath for cleaning. Design concepts created by the team were narrowed down into four using a Weighted Decision Matrix (WDM). A discussion with the client deemed the four concepts unfit to solve the problem due to the components of the designs being located mainly behind the seats. Seven new concepts were created by the team and further discussion with the client resulted with the final concept the team is going to move forward with. The main components of the final design are the DC motor, rack, pinion, seat bracket, rollers, and roller slots. These components are used in the theatrical seat moving system which will move the recliners forward in order to expose the floor underneath for cleaning. The theatrical seat moving system uses the power output of a DC motor to move the recliners forward. The rotational motion of the motor shaft is translated into linear motion using a rack and [...]

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.030
GPT teacher head0.256
Teacher spread0.226 · 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