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Record W7054643242

Alternative String-Trimmer Starting Device

2011· article· en· W7054643242 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.

Bibliographic record

VenueDigital Commons - Trinity University (Trinity University) · 2011
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsTrinity College
Fundersnot available
KeywordsPlungerTrimmingRackPower (physics)ShieldsSpring (device)Mechanical energyClutchTorque
DOInot available

Abstract

fetched live from OpenAlex

A mechanical string trimmer starter is designed in collaboration with Goodwill Industries of San Antonio, so that Goodwill can employ people with limited hand-arm dexterity who would otherwise be turned away from a string trimming (landscaping) job. The power spring based mechanical string trimmer started design includes a 6.58" x 7.08" x 7.92" aluminum box that is attachable to the rear surface of the string trimmer via a custom made aluminum attachment. The design comprises of three subsystems – the energy input, energy storage, and the energy release subsystems. The device allows the operator to compress a plunger (rack) repeatedly to store the energy in a power spring and release the accumulated energy using a ratchet mechanism. The overall design, weighing 16 lbm, requires 30-40 complete plunge compression cycles, with the force required to press the rack increasing successively as the spring charges. The maximum force of 30 lbf is required to push the plunger during the final plunge cycle. The design provides a torque of over 100 in-lbf and angular frequency of 3 total to the engine's crankshaft, sufficient to start a cold engine based on the tests performed on the Shindaiwa T272 trimmer.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.068
GPT teacher head0.236
Teacher spread0.167 · 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