alterlab-docentlik-eligibility

name	alterlab-docentlik-eligibility
description	Runs a PARTIAL pre-screen of a Turkish associate-professorship (doçentlik) publication list against the ÜAK (Üniversitelerarası Kurul) Sağlık Bilimleri TABLO 10 criteria, applying the author-share rule (full; 0.8 + 0.5; lead-author half-the-rest split) and pass-fail checking the four computable minimums (≥100 total, ≥90 post-doctorate, ≥40 SCIE/SSCI article points, ≥3 lead-author Q1–Q4 articles). It deliberately does NOT emit an ELIGIBLE verdict — it lists the unmodelled mandatory minimums (TR Dizin/national article, citation, congress, teaching, per-category caps) for the user to verify. Use when the user wants to estimate doçentlik eligibility, calculate ÜAK points, or audit lead-author (başlıca yazar) requirements; resolve a journal's live TR Dizin status with alterlab-trdizin first, and compute the akademik teşvik (academic-incentive) score with alterlab-akademik-tesvik. Always verify the full live TABLO 10 — criteria change each term and differ per field. Part of the AlterLab Academic Skills suite.
license	MIT
allowed-tools	Read Write Edit Bash(python:*)
compatibility	No API key required — pure offline PARTIAL pre-screen (stdlib Python) over a bundled, dated ÜAK criteria table; never emits an ELIGIBLE verdict; live journal-index status is delegated to alterlab-trdizin
metadata	{"skill-author":"AlterLab","version":"2.0.0","last_updated":"2026-06-08","depends_on":"alterlab-trdizin (live TR Dizin status feeds scoring), alterlab-akademik-tesvik (separate incentive score)"}

Doçentlik Eligibility — PARTIAL Pre-Screen Against the ÜAK Criteria

Pre-screens a candidate's publication list against the doçentlik (associate professorship) point gate set by ÜAK (Üniversitelerarası Kurul / the Inter-University Council) for the Sağlık Bilimleri (Health Sciences) field. Given a publication list with each item's index tier and author role, it applies the per-field point table, the author-share rule (paylaşım kuralı), and pass-fail-checks the four mandatory minimums it can compute from a publication list — reporting the exact shortfall on any that fail.

This is a PARTIAL pre-screen, not an eligibility decision — and it never outputs an "ELIGIBLE" verdict. The live TABLO 10 imposes several more mandatory minimums (a TR Dizin / national-article requirement, a citation minimum, a scientific-meeting minimum, an education minimum, and per-category point caps) that depend on inputs a bare publication list does not carry. The scorer lists those unmodelled minimums in every report and the best status it can return is PRESCREEN_PASS_VERIFY_REMAINING — "all computable checks pass; a human must still verify the rest against the live ÜAK source." A failed computable check returns FAIL_MODELLED_CHECK.

This is a deterministic offline tool: the same input always yields the same status. It does not decide the quality of a candidate's work — that is the doçentlik jury's role — and it does not look up a journal's live index status (use alterlab-trdizin for that, then feed the result in).

Quick Start

Am I eligible for doçentlik? Here is my publication list with indexes and author roles.
Doçentlik için yeterli puanım var mı? Yayın listem ekte (Q tier + yazar sırası ile).
Calculate my ÜAK doçentlik points for the Sağlık (Health) field.
Do I meet the ≥3 lead-author Q-article requirement, or am I short?

→ Run scripts/score_docentlik.py over the list (JSON), read the summary.verdict, then present the score breakdown, every failed computable minimum, the unmodelled mandatory minimums the user must still verify, and the verify-against-current-period disclaimer below. Never restate the PRESCREEN_PASS_VERIFY_REMAINING status as "eligible" — it is not.

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CRITICAL: Verify Against the Current ÜAK Period

ÜAK republishes the doçentlik criteria each application term (başvuru dönemi), and the per-field point tables change between terms. The numbers bundled in this skill are pinned with a date in and reflect the TABLO 10 as captured then.