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docs(evaluation): reframe onboarding and matching guidance around function, not title (#330)

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Title-lookalike matching collapses a multi-hat career into whichever single
job-title box sounds closest, then searches only inside that box. /setup
Section 9 now asks about the function before collecting search titles,
search-queries.md says to organize priority categories by function with title
variants under each, and 04-job-evaluation.md's Experience dimension matches on
the function and nature of work performed (framework_version 1.2.2 -> 1.2.3).
From discussion #327's field report and calibration example.
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@@ -25,14 +25,17 @@ Secondary (company career pages via Google):
Queries are grouped by priority. Write **each category in every language from your Languages table** (see Language scope above). Combine each query with your location terms (e.g. your city, region, or metro area) where the site supports it.
**Organize by function, not job title.** The same underlying work carries different titles across companies and markets (a "Data Scientist" role at one employer may be posted as "Insights Analyst" or "Data Consultant" at another). Name each priority category after the function it covers, and list several plausible job titles as query variants within that category rather than betting an entire priority tier on one exact title string.
### Priority 1: [YOUR_PRIMARY_ROLE_TYPE]
These match your strongest and most desired career direction.
```
site:[YOUR_JOB_BOARD] "[YOUR_PRIMARY_JOB_TITLE]" [YOUR_CITY]
site:[YOUR_JOB_BOARD] "[YOUR_PRIMARY_JOB_TITLE_1]" [YOUR_CITY]
site:[YOUR_JOB_BOARD] "[YOUR_PRIMARY_JOB_TITLE_2]" [YOUR_CITY]
site:[YOUR_JOB_BOARD] "[YOUR_KEY_SKILL]" [YOUR_CITY]
site:linkedin.com/jobs "[YOUR_PRIMARY_JOB_TITLE]" [YOUR_COUNTRY]
site:linkedin.com/jobs "[YOUR_PRIMARY_JOB_TITLE_1]" [YOUR_COUNTRY]
```
### Priority 2: [YOUR_DOMAIN_EXPERTISE]