| Token | #7382 of SciMatic Articles (ERC-1155), fixed supply 1,000,000 |
|---|---|
| Contract | 0x0E596B4bb924937aA35D9b342A90347ed6F05eF8 |
| Mint transaction | 0x7f6422e879f6c403fe022534b564fdc3368da493cb54ea88dae6e4bf4394665c · block 12109957 |
| Minted | 2026-10-02 11:25 UTC |
| Hash on chain | 0x7eb3c5327dc7b9d1af737d0e83843b84597783c4d75e891d9b9bdbc79f6aa8a4 |
| SHA-256 of the record | 0x7eb3c5327dc7b9d1af737d0e83843b84597783c4d75e891d9b9bdbc79f6aa8a4 |
| Article today | Matches the anchored record. |
| Holder | Wallet | Minted | Holds now |
|---|---|---|---|
| SciMatic (10%) | 0xc35709AB…277732 | 100,000 | 100,000 |
| Lee Monton | 0x60FC538A…157Aec | 450,000 | 450,000 |
| Philip Cuizon | 0xdC37a156…686137 | 450,000 | 450,000 |
Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.
{"abstract":"This study examined the relationship between emotional intelligence and job motivation among employees working under a work-from-home (WFH) arrangement. Specifically, the study determined the demographic profile of the respondents in terms of sex, age, civil status, employment status, employment level, years of employment, educational attainment, type of work, and income. It also assessed the level of emotional intelligence and job motivation of the respondents and determined whether a significant relationship exists between these variables. A quantitative correlational research design was employed in the study. Data were collected from 100 work-from-home employees selected through convenience sampling. The Schutte Self-Report Emotional Intelligence Test (SSEIT) was used to measure emotional intelligence, while the Job Diagnostic Survey (JDS) was utilized to measure job motivation. Descriptive statistics such as frequency distribution, percentage, mean, and standard deviation were used to analyze the data, while Pearson’s r correlation coefficient was used to determine the relationship between emotional intelligence and job motivation. The results revealed that respondents demonstrated an average level of emotional intelligence across its different dimensions. The job motivation of respondents, measured through the motivating potential score, also showed a moderate level of motivation across different job characteristics. Statistical analysis indicated that there were no significant differences in job motivation across demographic variables, while correlation analysis revealed significant relationships among certain job characteristics factors. The findings of the study highlight the importance of emotional intelligence in influencing employees’ perceptions of their work, particularly in a work-from-home environment. The results may provide valuable insights for organizations in developing programs and strategies that promote emotional intelligence and enhance job motivation among remote employees.","abstract_source":"original","authors":["Lee Monton","Philip Cuizon"],"date":"2026-03-16","doi":"10.70838/pemj.530408","id":7382,"issue":4,"journal":{"issn":"2822-4353","name":"Psychology and Education: A Multidisciplinary Journal"},"pdf_sha256":"651a0922eb96a62d650b538aa365dfb6f1461606b06fb8197da42bbf3d8359e3","schema":"scimatic-article/1","title":"Emotional Intelligence and Job Motivation of Selected Work From Home Employees: Basis of the Development of Employees Wellness Program","volume":53}
1. The record, from the token's own metadata:
printf '%s' "$(curl -s https://scimatic.org/nft/articles/7382.json | jq -r .canonical_record)" | sha256sum
2. The hash stored on chain (contentHash(7382)):
curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000001cd6"},"latest"]}'
The two must be equal (the second with a 0x in front).