{"main_topic":"education","sub_topic":"gosa","topic":"educator_qualifications_inexperienced_teachers_leaders","key":"education/gosa/educator_qualifications_inexperienced_teachers_leaders","version":"1.0.0","year_min":2018,"year_max":2024,"year_gaps":[],"update_frequency":"annual","detail_levels":["districts","schools","states"],"default_detail":"schools","path_template":"education/educator_qualifications_inexperienced_teachers_leaders/year={year}/{detail}.parquet","grain":["year","district_code","school_code","role","poverty_subgroup"],"title":"Inexperienced Teachers and Leaders","summary":"Share of Georgia teachers and leaders in their first career years by school, district, role, and poverty stratum, 2018-2024.","description":"Georgia Office of Student Achievement (GOSA) Inexperienced Teachers and Leaders report. For every Georgia public school, school district, and the state as a whole, reports the total educator full-time equivalent (`total_fte`), the FTE of educators classified as Inexperienced — within the first years of their career, per the ESSA inexperienced-educator standard — (`inexperienced_fte`), and the inexperienced FTE as a percentage of total FTE (`inexperienced_fte_rate`, on a 0-1 decimal scale). Unlike the sibling educator-qualifications topics (Teachers-only), this dataset reports both Teachers and Leaders (`role`), and each entity carries rows across school-poverty strata (`poverty_subgroup`: total, high_poverty, low_poverty, plus not_applicable and unknown for Leaders). Coverage spans the 2017-2018 school year through 2023-2024.","source":"Governor's Office of Student Achievement (GOSA)","source_url":"https://gosa.georgia.gov/dashboards-data-report-card/downloadable-data","endpoint":"/api/v1/education/educator_qualifications_inexperienced_teachers_leaders","columns":[{"name":"year","type":"integer","role":"year","nullable":false,"label":"Year","short_description":"","description":"Ending calendar year of the school year. Year 2024 = 2023-2024 school year. Derived from the bronze `LONG_SCHOOL_YEAR` column's ending year.","valid_values":null,"example":2024,"unit":null,"value_min":null,"value_max":null,"null_meaning":null,"key_metric_grain_contributor":false,"metric_component":null},{"name":"district_code","type":"string","role":"fk_district","nullable":true,"label":"District Code","short_description":"","description":"3-digit GOSA district code (zero-padded) for standard districts; 7-digit charter code for charter / specialty-school districts; NULL for state-level aggregate rows. FK to the education districts dimension. Because the source publishes only district NAMES (no codes), codes are resolved against `data/gold/education/_dimensions/districts.parquet` via the shared educator-topic resolver (year-aware certified_personnel lookups, curated code pins, and guarded name matching — see src/etl/education/gosa/_educator_lookups.py). Rows whose names cannot be resolved or faithfully attributed are dropped only under documented predicates; the transform manifest records each dropped class and count per year.","valid_values":null,"example":"601","unit":null,"value_min":null,"value_max":null,"null_meaning":null,"key_metric_grain_contributor":false,"metric_component":null},{"name":"school_code","type":"string","role":"fk_school","nullable":true,"label":"School Code","short_description":"","description":"4-digit GOSA school code (zero-padded); NULL for district-level and state-level aggregate rows. FK to the education schools dimension (composite key with district_code). Resolved by name via the shared educator-topic resolver; school-level rows whose name cannot be resolved to a dimension entry are dropped under documented source-gap predicates only (counts in the transform manifest).","valid_values":null,"example":"0103","unit":null,"value_min":null,"value_max":null,"null_meaning":null,"key_metric_grain_contributor":false,"metric_component":null},{"name":"role","type":"string","role":"categorical","nullable":false,"label":"Role","short_description":"Workforce role the row measures: teachers or leaders (principals and assistant principals).","description":"Workforce role the row measures: `teachers` or `leaders` (principals / assistant principals). Unlike the sibling emergency / out-of-field educator-qualifications topics (Teachers-only), this dataset reports both roles.","valid_values":["leaders","teachers"],"example":"teachers","unit":null,"value_min":null,"value_max":null,"null_meaning":null,"key_metric_grain_contributor":true,"metric_component":null},{"name":"poverty_subgroup","type":"string","role":"categorical","nullable":false,"label":"Poverty Subgroup","short_description":"School-poverty stratum the row covers (total, high, or low poverty; Leaders add not_applicable/unknown); a school-poverty level, not a student demographic.","description":"Poverty stratum of the schools whose FTE this row aggregates. `total` covers all schools in the entity; `high_poverty` / `low_poverty` cover only the entity's schools in the state's highest- / lowest-poverty quartile (per GOSA's K-12 Teacher & Leader Workforce Reports, school poverty is defined by the direct-certification rate). Leaders rows additionally carry `not_applicable` (the dominant Leaders stratum) and `unknown` (rare — chiefly Department of Juvenile Justice facilities, plus isolated Mitchell County 2022 and Gwinnett County 2024 rows); Teachers rows never carry either (enforced by a quality check). For a school-level row the stratum describes the school itself, so a stratum row duplicates that school's `total` row (enforced by a quality check). This is a SCHOOL-poverty stratum, NOT a student demographic — it does not map to the global demographics dimension.","valid_values":["high_poverty","low_poverty","not_applicable","total","unknown"],"example":"total","unit":null,"value_min":null,"value_max":null,"null_meaning":null,"key_metric_grain_contributor":true,"metric_component":null},{"name":"total_fte","type":"number","role":"metric","nullable":true,"label":"Total FTE","short_description":"","description":"Total educator full-time equivalent count in the entity for the given role and poverty subgroup. For `poverty_subgroup = total` this is the entity's total role FTE; for other strata it is the FTE in just that stratum of schools. Fractional FTEs are real (e.g. 58.2). NULL when suppressed by the GOSA reporting floor (`TFS`, < 10 FTE) — 2021 onward. Denominator of `inexperienced_fte_rate`.","valid_values":null,"example":65.5,"unit":"count","value_min":null,"value_max":null,"null_meaning":"Suppressed by the GOSA reporting floor (`TFS`, fewer than 10 FTE); suppression exists from the 2021 file onward. Pre-2021 files have no suppression.","key_metric_grain_contributor":false,"metric_component":"denominator"},{"name":"inexperienced_fte","type":"number","role":"metric","nullable":true,"label":"Inexperienced FTE","short_description":"","description":"Educator FTE classified as Inexperienced (within the first years of their career, per the ESSA inexperienced-educator standard) in the entity for the given role and poverty subgroup. NULL when suppressed (`TFS`, < 10 FTE) — observed from 2021 onward. True zeros (no inexperienced educators) are preserved as 0.0 in 2018-2020, before GOSA introduced suppression for this report. Numerator of `inexperienced_fte_rate`. WARNING — not additive across hierarchy levels for Teachers: school-row sums exceed the district row and district-row sums exceed the state row by ~1.4x in every year (bronze-native; consistent with experience measured relative to the reporting unit — new-to-school vs new-to-district vs new-to-profession). Never derive an aggregate by summing lower-level rows; use the published row for the level you need. Leaders rows and `total_fte` DO reconcile across levels (~1.000). Six 2018-2020 Leaders rows at tiny programs exceed `total_fte` by exactly 0.1 (e.g. 2.0 vs 1.9 at Randolph Clay High School 2018) — an artifact of GOSA rounding each FTE to 0.1 independently; preserved per data-cleaning-standards §4b (extreme-but-conceivable).","valid_values":null,"example":33.0,"unit":"count","value_min":null,"value_max":null,"null_meaning":"Suppressed (`TFS`, < 10 FTE) — 2021 onward. Pre-2021 files have no suppression, so NULL does not occur and 0.0 is a true zero.","key_metric_grain_contributor":false,"metric_component":"numerator"},{"name":"inexperienced_fte_rate","type":"number","role":"metric","nullable":true,"label":"Inexperienced FTE Rate","short_description":"Share of educator FTE classified as inexperienced, on a 0-1 scale (inexperienced_fte / total_fte).","description":"`inexperienced_fte` / `total_fte` on a 0-1 decimal scale. Bronze publishes an integer 0-100 percent (verified range 0-100 across all years); divided by 100 per data-cleaning-standards §4. GOSA computes the integer percent from UNROUNDED FTE values while publishing FTEs rounded to 0.1, so at small programs the published rate deviates from inexperienced_fte/total_fte (up to 0.9 below 10 FTE, e.g. published 0.1/0.1 with rate 0.10; at or above the 10-FTE reporting floor the worst observed deviation is 0.09). A quality check enforces reconciliation within 0.10 where total_fte >= 10. The rate is preserved from bronze even when `inexperienced_fte` is suppressed.","valid_values":null,"example":0.5,"unit":"proportion","value_min":null,"value_max":null,"null_meaning":"The bronze percentage itself was suppressed (`TFS`). The rate can be non-NULL while `inexperienced_fte` is suppressed, and vice versa — GOSA suppresses each cell independently.","key_metric_grain_contributor":false,"metric_component":null}],"key_metric":"inexperienced_fte_rate","usage":"Star-schema fact table. Join the districts dimension on district_code; the schools dimension on district_code + school_code. Read directly with DuckDB over Parquet.","limitations":"Suppression is era-asymmetric: 2018-2020 publish a real `0` (true zero inexperienced educators, 723-765 rows per year), while 2021 onward suppress any value below 10 with `TFS` (treat NULL as 'value < 10' for 2021+ but as genuinely missing pre-2021); inexperienced_fte_rate may be non-null even when inexperienced_fte is suppressed. The source publishes only district/school NAMES, so codes are resolved by name against the education dimensions via the shared educator-topic resolver (year-aware certified_personnel lookups, curated code pins, guarded matching); rows that cannot be resolved or faithfully attributed are dropped only under documented predicates — unresolved truncated charter-container placeholders, cataloged source gaps (e.g. Ivy Prep Kirkwood), and the ambiguous 52-char-truncated Genesis Innovation Academy district aggregates (Boys/Girls distinguisher erased; bare school rows carry the real values) — with per-year counts in the transform manifest. District-level coverage for Genesis Innovation Academy is therefore missing in 2023-2024 while its school-level rows are complete. The 2024 truncated Utopian Academy aggregates (one Leaders/Total identical-metric pair collapsed by dedup, plus a single Leaders/Low Poverty row) are all bound to the pinned main campus 7820121 even though the truncated name also covers the Trilith campus 7820619 — the Low Poverty row likely describes Trilith; preserved as published and matching the v1-approved handling. Six 2018-2020 Leaders rows carry inexperienced_fte exceeding total_fte by exactly 0.1 (independent 0.1-FTE rounding; preserved per data-cleaning-standards §4b). Teachers `inexperienced_fte` does NOT aggregate across hierarchy levels: school-row sums exceed the district row and district-row sums exceed the state row by ~1.4x in every year (consistent with experience measured relative to the reporting unit); never derive aggregates by summing lower-level rows. The 2019 file's Teachers FTE levels run ~40% above adjacent years statewide (162,256.2 vs 118,009.1 in 2018 / 110,800.8 in 2020) and the 2018 file's school-level total_fte can sum above the district row (149 of 205 districts) — treat 2018-2019 levels as a distinct measurement basis when trending. State rows have NULL district_code and school_code; district rows have NULL school_code.","null_semantics":{"suppressed_to_null":true,"zero_is_real":true},"available_years":[2018,2019,2020,2021,2022,2023,2024],"schema_hash":"97f942f22b6bb4ed8c400d5006fa87998929f352b6c65529faec9cd00e51b4dc","tags":["education","governor's office of student achievement","educator_qualifications_inexperienced_teachers_leaders"],"granularity_description":"One row per year, district_code, school_code, role, poverty_subgroup (geography columns are NULL at higher aggregation levels).","example_queries":[{"description":"Latest year (2024), schools detail","query":"SELECT * FROM educator_qualifications_inexperienced_teachers_leaders WHERE year = 2024 LIMIT 100"},{"description":"District 601 in 2024","query":"SELECT * FROM educator_qualifications_inexperienced_teachers_leaders WHERE district_code = '601' AND year = 2024 LIMIT 100"},{"description":"Filter by role = teachers","query":"SELECT * FROM educator_qualifications_inexperienced_teachers_leaders WHERE role = 'teachers' AND year = 2024 LIMIT 100"}],"foreign_keys":[{"column":"district_code","target_object":"districts","target_columns":["district_code"],"attribute_columns_added":["district_name","district_census_id","district_type"],"scope":"domain"},{"column":"school_code","target_object":"schools","target_columns":["district_code","school_code"],"attribute_columns_added":["school_name"],"scope":"domain"}],"filters":[{"param":"year","kind":"year_exact","type":"integer","multi_value":false,"enum_enforced":false,"values":null},{"param":"year_min","kind":"year_range","type":"integer","multi_value":false,"enum_enforced":false,"values":null},{"param":"year_max","kind":"year_range","type":"integer","multi_value":false,"enum_enforced":false,"values":null},{"param":"detail","kind":"detail","type":"string","multi_value":false,"enum_enforced":true,"values":["districts","schools","states"],"default":"schools"},{"param":"district_code","kind":"foreign_key","column":"district_code","type":"string","multi_value":true,"enum_enforced":false,"values":null},{"param":"school_code","kind":"foreign_key","column":"school_code","type":"string","multi_value":true,"enum_enforced":false,"values":null},{"param":"role","kind":"categorical","column":"role","type":"string","multi_value":true,"enum_enforced":true,"values":["leaders","teachers"],"has_total":false,"total_value":null,"requires_single_value":true},{"param":"poverty_subgroup","kind":"categorical","column":"poverty_subgroup","type":"string","multi_value":true,"enum_enforced":true,"values":["high_poverty","low_poverty","not_applicable","total","unknown"],"has_total":true,"total_value":"total","requires_single_value":false},{"param":"district_type","kind":"dimension_attribute","dimension":"districts","column":"district_type","type":"string","multi_value":true,"enum_enforced":true,"values":["commission_charter","resa","standard","state_agency","state_charter","state_school","state_special"]}],"filter_hints":[]}