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ISCO08 and EurOccupations: a prototype coding tool

ISCO08 and EurOccupations: a prototype coding tool. Ritva Ellison Institute for Employment Research The University of Warwick, UK. EUROCCUPATIONS. EU FP6-funded 3-year project, 2006-09 10 institutions from 8 countries

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ISCO08 and EurOccupations: a prototype coding tool

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  1. ISCO08 and EurOccupations:a prototype coding tool Ritva Ellison Institute for Employment Research The University of Warwick, UK

  2. EUROCCUPATIONS EU FP6-funded 3-year project, 2006-09 10 institutions from 8 countries The Netherlands, Belgium, France, Germany, Italy, Poland, Spain and the UK Main outputs: Database of 1,600 occupations – ‘extended list’ – ISCO08 Further analysis of 150 ‘key occupations’

  3. Euroccupations prototype coding toolCASCOT • Software navigation for Euroccupations database • How do users want to interrogate the database? Enter a job title in national language – find out more about it if in the Euroccupations list Find the equivalent occupational term in other languages/countries • Occupational coding tool into ISCO08 • Prototype tool, limited scope – further resources needed to refine and extend it • Based on CASCOT software

  4. What can the software do? 1) Shows where a Euroccupations job title fits into ISCO08 2) Shows alternative job titles if no exact match with the entered term 3) Links to the Key List of Occupations in Euroccupations database 4) Allows for batch operation in a variety of modes (fully automatic, user controlled, etc.)

  5. Cascot • Cascot will provide: A list of recommendations. Code, title, best matching index entry, and certainty score • Certainty Score Approximates the probability that the recommended code is correct. This is represented by a number in the range 0-100. People never 100% right. Computer can’t be 100% right.

  6. Occupational coding in practice • Quality of coding reflects quality of text available for coding. • Need rules which specify how to deal problems such as ambiguous job titles (e.g. engineer, teacher). • Need to be aware that machine coding of text can introduce bias. • Need to establish ‘trade off’ between accuracy and cost.

  7. Demonstration of the software Manual coding Automated coding Linking to EurOccupations database English, Dutch, French CASCOT for EurOccupations

  8. Automated coding An experienced person can code manually about 100 occupations/hour What if they need to code a file of 100,000 occupational texts? Use the automated coding Examples: coding 20 rows of English and Dutch texts from WageIndicator data

  9. Further development • Treatment of non-English characters. • Fine tuning to improve performance. • Downgraded words: deputy, junior, staff, … • Equivalent word ends: -man, -person, -woman • Abbreviations: asst – assistant • Replacement words: tecnition – technician • Word alternatives: IT - computing • Improving the index to cover a multitude of job titles, with synonyms, various spellings • Possible extension to include ISCO08 descriptions when available.

  10. Further information about CASCOT http://www2.warwick.ac.uk/fac/soc/ier/publications/software/cascot Ritva.Ellison@warwick.ac.uk

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