| Token | #1659 of SciMatic Articles (ERC-1155), fixed supply 1,000,000 |
|---|---|
| Contract | 0x0E596B4bb924937aA35D9b342A90347ed6F05eF8 |
| Mint transaction | 0xe40467598ea78acb0bed3c985a043f7799dd4f21028cb6f85a750f7a65f765b0 · block 12097061 |
| Minted | 2026-10-01 17:31 UTC |
| Hash on chain | 0xa1f3b9920b46fcd0b3b3d72fd4de5fea5c8548b219c95e694fb1a0c9ce1496df |
| SHA-256 of the record | 0xa1f3b9920b46fcd0b3b3d72fd4de5fea5c8548b219c95e694fb1a0c9ce1496df |
| Article today | Matches the anchored record. |
| Holder | Wallet | Minted | Holds now |
|---|---|---|---|
| SciMatic (10%) | 0xc35709AB…277732 | 100,000 | 100,000 |
| Pauline Jonnah Gocotano | 0x66a59645…e6B9C6 | 900,000 | 900,000 |
Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.
{"abstract":"The emergence of neologisms has always been an interesting phenomenon as it demonstrates the dynamism of language. This study intends to determine the neologisms during COVID-19 Pandemic through morphological analysis. This study argues that the neologisms that emerged during the COVID-19 pandemic reveal the morphological structures that formed the new words. It further claims that the morphemic facilities of the neologisms follow the general systems of English vocabulary. Specifically, this study involves textual analysis to determine the morphological structures encompassing new words' formation. The data used in analyzing the morphological structures of COVID-19-related neologisms are Internet articles that introduce the new terms created because of the coronavirus outbreak. Findings reveal that most of the neologisms are content words such as nouns. The common word formations involved in the neologisms are blending, compounding, affixation, borrowing, clipping, and antonomasia. Moreover, most neologisms follow the compound structure of the free and bound morphemes. Based on the results of the study, it can be concluded that the neologisms formed during the COVID-19 pandemic reveal the morphemic structures of the neologisms follow the general structures of English vocabulary, specifically on the combination of free and bound morphemes.","abstract_source":"original","authors":["Pauline Jonnah Gocotano"],"date":"2023-07-25","doi":"10.5281/zenodo.8180742","id":1659,"issue":2,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"a58017c139614d36f17063cc981c6b8c7d3fcb05a724ad1d2ceaa998eb26fdc0","schema":"scimatic-article/1","title":"Morphological Structure of Neologisms During the Covid-19 Pandemic","volume":11}
1. The record, from the token's own metadata:
printf '%s' "$(curl -s https://scimatic.org/nft/articles/1659.json | jq -r .canonical_record)" | sha256sum
2. The hash stored on chain (contentHash(1659)):
curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c290000000000000000000000000000000000000000000000000000000000000067b"},"latest"]}'
The two must be equal (the second with a 0x in front).