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public:nnels:cataloguing:new-create-modify-record-set-in-marcedit [2024/04/04 23:52] robert.macgregor |
public:nnels:cataloguing:new-create-modify-record-set-in-marcedit [2024/04/04 23:54] robert.macgregor |
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LoC term:\\ | LoC term:\\ | ||
- | =650 \0$aWomen$xSocial conditions. | + | **=650 \0$aWomen$xSocial conditions.** |
FAST term:\\ | FAST term:\\ | ||
- | =650 \4$aWomen%%--%%Social conditions.\\ | + | **=650 \4$aWomen%%--%%Social conditions.**\\ |
or\\ | or\\ | ||
- | =650 \7$aWomen%%--%%Social conditions.$2fast | + | **=650 \7$aWomen%%--%%Social conditions.$2fast** |
The subfield indicator separating the terms is replaced by 2 dashes (%%--%%). | The subfield indicator separating the terms is replaced by 2 dashes (%%--%%). | ||
- | =650 \7$aWomen$xSocial conditions.$2fast\\ | + | **=650 \7$aWomen$xSocial conditions.$2fast**\\ |
This should be changed to:\\ | This should be changed to:\\ | ||
- | =650 \7$aWomen%%--%%Social conditions.$2fast | + | **=650 \7$aWomen%%--%%Social conditions.$2fast** |
When Drupal parses subject terms, it splits terms based on the subfield indicators, so if there is an $x in the subject term, the Drupal record will actually show 2 separate terms (Women, Social conditions instead of Women%%--%%Social conditions). | When Drupal parses subject terms, it splits terms based on the subfield indicators, so if there is an $x in the subject term, the Drupal record will actually show 2 separate terms (Women, Social conditions instead of Women%%--%%Social conditions). | ||
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Also be aware that some FAST syntaxes are different than LoC. For example, place names. | Also be aware that some FAST syntaxes are different than LoC. For example, place names. | ||
- | LoC: =650 \0$aGeorgia (Atla.)\\ | + | LoC: |
- | FAST: =650 \4$aAtlanta%%--%%Georgia. | + | FAST: |
LoC is City first with State/ | LoC is City first with State/ | ||
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The majority of FAST terms can simply be derived from LoC terms by just taking the first part of the LoC subject term. This is most apparent when it comes to fiction.\\ | The majority of FAST terms can simply be derived from LoC terms by just taking the first part of the LoC subject term. This is most apparent when it comes to fiction.\\ | ||
LoC adds the term $vFiction at the end of subject terms for works of fiction. For example:\\ | LoC adds the term $vFiction at the end of subject terms for works of fiction. For example:\\ | ||
- | =650 \0$aMissing persons$vFiction.\\ | + | **=650 \0$aMissing persons$vFiction.**\\ |
The FAST term would just be:\\ | The FAST term would just be:\\ | ||
- | =650 \4$aMissing persons. or =650 \7$aMissing persons.$2fast | + | **=650 \4$aMissing persons.** or **=650 \7$aMissing persons.$2fast** |
**Where to find FAST subject terms** | **Where to find FAST subject terms** |