| Token | #2865 of SciMatic Articles (ERC-1155), fixed supply 1,000,000 |
|---|---|
| Contract | 0x0E596B4bb924937aA35D9b342A90347ed6F05eF8 |
| Mint transaction | 0x999ff182a735b6f211fb7a277b85f3f0b5ec46c2acc9b3a553d6371e551ad066 · block 12099517 |
| Minted | 2026-10-01 20:55 UTC |
| Hash on chain | 0x88c715340c535960998426239799fcb2f0927879083933e254cbf55eeb606a12 |
| SHA-256 of the record | 0x88c715340c535960998426239799fcb2f0927879083933e254cbf55eeb606a12 |
| Article today | Matches the anchored record. |
| Holder | Wallet | Minted | Holds now |
|---|---|---|---|
| SciMatic (10%) | 0xc35709AB…277732 | 100,000 | 100,000 |
| Honey Hees Silda | 0x681a976F…44f114 | 450,000 | 450,000 |
| Dr. Gloria M. Cunanan | 0xc53c4F6D…27a2bA | 450,000 | 450,000 |
Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.
{"abstract":"The aim of this study is to explore the relationship between mental health, job satisfaction, and commitment among regular staff or employees working within an educational institution. A discussion of method queries includes descriptive correlation and causal research design. There are one hundred eighty-four (184) respondents ‘of the Liceo de Cagayan University, who are randomly selected and meet the criteria of at least one (1) year and above in service. Survey questionnaires were adapted, modified, and used to gather the relevant data. To analyze the data, descriptive statistics such as mean, correlation, and regression are used. The findings of the study revealed that all eight (8) sub-variables of mental health and job satisfaction have a statistically significant correlation to employees’ level of commitment. This indicates that as the various factors, including those related to mental health and job satisfaction, increase, there is a corresponding increase in employees' commitment to the institution. Thus, the hypothesis positing a significant relationship between mental health, job satisfaction, and commitment among employees in the institution is supported and confirmed. We also found out that the variable that best predicts employees’ commitment is personal life. As to the extent of the direct effect of the said predictor, for every one-point increase in personal life, the employees’ commitment will have an increase of 0.237. Therefore, their personal lives affect their mental health. This may result in job dissatisfaction and affect their commitment to the institution, leading to a decision to leave.","abstract_source":"original","authors":["Honey Hees Silda","Dr. Gloria M. Cunanan"],"date":"2024-04-30","doi":"10.5281/zenodo.11094928","id":2865,"issue":5,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"a16f8eca4214e28d9385cd896831a47a71ddf8d0008f693173392fa7821e2add","schema":"scimatic-article/1","title":"Mental Health, Job Satisfaction, and Commitment among Regular Staff/Employee in an Educational Institution","volume":19}
1. The record, from the token's own metadata:
printf '%s' "$(curl -s https://scimatic.org/nft/articles/2865.json | jq -r .canonical_record)" | sha256sum
2. The hash stored on chain (contentHash(2865)):
curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000000b31"},"latest"]}'
The two must be equal (the second with a 0x in front).