Bibliographic record
Abstract
The stapler was invented in 18th century France for King Louis XV. Later, in 1879, George McGill received a patent for the first commercially successful stapler. Since the first commercial stapler became available, many alterations have been made to make use easier (THROWBACK THURSDAY). Our new product is based on the basic need for a stapler to hold paper together. However, our product extends much further by seeking to improve ease of use, safety, and removal. The stapler can be used for normal use, but it is specifically meant to make decorating bulletin boards safer and easier. Rather than having to step on a chair to staple decorations onto bulletin boards, teachers, daycare workers, and office employees can easily clip the paper to the stapler, stretch the extending attachment to reach the desired location, and press a button which releases a staple automatically. After the staple is released, another button can be pressed which releases the clip that was holding the paper to the stapler. When it is time to take the decorations off the bulletin board, users can pull out their start to finish stapler and extend the other end which is equipped with a stapler remover.\nReferences\n“THROWBACK THURSDAY: Invention of the Stapler.” The Hire Solution, 18 Jan. 2018, thehiresolution.net/throwback-thursday-invention-of-the-stapler/.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.213 | 0.203 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".