alterlab-akademik-tesvik

name: alterlab-akademik-tesvik description: "Computes the annual Turkish academic-incentive (akademik teşvik) score for Devlet (state) university öğretim elemanı (academic staff) from a classified activity list, applying the verified Akademik Teşvik Ödeneği Yönetmeliği (2018/11834) Faaliyet Hesaplama Tablosu headline puanları (Proje 20, Araştırma 15, Yayın 30, Patent 30, Atıf 30, Tebliğ 20, Ödül 20) with the k (author-count), p (Q1 1/Q2 0.8/Q3 0.5/Q4 0.25), and r (project-role) coefficients via türü puanı = Σ(faaliyet oranları) × headline (MADDE 8/2), then enforcing the per-type headline ceilings, the 100 cap (MADDE 8/3), and the net-30 payment gate (MADDE 10/3) in a deterministic scripts/tesvik_score.py. Use when the user wants to calculate akademik teşvik puanı, check the en az 30 (net-30) threshold, apply TABLO 4 ceilings, or estimate teşvik eligibility; keeps its coefficients separate from doçentlik scoring. For doçentlik point eligibility prefer alterlab-docentlik-eligibility. Part of the AlterLab Academic Skills suite." license: MIT allowed-tools: Read Write Edit Bash(python:*) compatibility: No API key and no network required — applies the regulation's tables offline via uv run python; the regulation PDF is on mevzuat.gov.tr for re-verification metadata: skill-author: AlterLab version: "1.0.1" last_updated: "2026-06-09"

Akademik Teşvik — Annual Incentive Score Calculator

Computes the akademik teşvik (academic-incentive) puanı for a Turkish Devlet (state) university öğretim elemanı (academic staff member) for one calendar year, and decides whether the incentive is payable. It applies the Akademik Teşvik Ödeneği Yönetmeliği (Academic Incentive Allowance Regulation; Bakanlar Kurulu 2018/11834, RG 27/6/2018 No. 30461, amended CK-2043 of 2020) deterministically and offline, so the same activity list always yields the same score.

This is an annual calculation distinct from doçentlik (associate- professorship) eligibility scoring: the two rule systems use different coefficients and thresholds, and this skill keeps them separate on purpose.

Quick Start

Calculate my akademik teşvik score for this year
Akademik teşvik puanımı hesapla — 30 barajını geçiyor muyum?
Does this activity list clear the net-30 incentive threshold?
Apply the TABLO 4 ceilings and the 30% rule to my publications

→ Classify each activity into its regulation type, build a JSON activity list, run scripts/tesvik_score.py, then report the final score, the per-type breakdown, and the net-30 pay/no-pay verdict.

When to Use This Skill

Use it when the request is about the annual teşvik (incentive) score or its payment threshold — calculating the puan, applying the TABLO 4 / Faaliyet Hesaplama Tablosu ceilings, checking the en az 30 (net-30) gate, the per-type headline ceilings (the %30 table weighting), the 100 cap, or estimating whether a year's research output qualifies for the incentive payment.

Does NOT Trigger

Route adjacent requests to the right sibling skill:

If the user asks for the TRY payout amount, this skill computes the score and shows the formula, but does not quote money from a hardcoded salary coefficient (it changes every six months) — see "Payout" below.

What the Score Is Built From

The regulation's method (MADDE 8/2) is two steps, not a per-activity base × k × p × r:

türü puanı = (Σ faaliyet oranları) × headline puan (MADDE 8/2-a); then akademik teşvik puanı = Σ türü puanları (MADDE 8/2-b).

Each Faaliyet Hesaplama Tablosu row gives an oran — a percentage-style multiplier like k × p × 60, r × 80, or 15 × ay — which you express as a fraction of that type's headline puan before summing. The verified tables (transcribed from the regulation PDF) live in references/tablo4.md:

• Per-type headline puan (also the MADDE 8/3 ceiling): Proje 20, Araştırma 15, Yayın 30, Tasarım 15, Sergi 15, Patent 30, Atıf 30, Tebliğ 20, Ödül 20.
• k (author count): 1→1, 2→0.8, 3→0.6, 4→0.45, 5→1/5, 6→1/6, 7+→1/n.
• p (journal quartile): Q1 1, Q2 0.8, Q3 0.5, Q4 0.25 (AHCI uses p=0.5, MADDE 8/6).
• r (project role): yürütücü (PI) 1, araştırmacı/bursiyer 0.5.

The full calculation pipeline, the worked example, and the payout formula are in references/hesaplama.md.

The Three Gates (do not skip any)

1. Per-type headline ceiling + the %30 weighting — each type's puanı cannot exceed its headline puan (MADDE 8/3). Those headlines (all ≤ 30) are how the regulation encodes the MADDE 1 rule that each type's weight stays within 30% of the 100-point total — the %30 is a fixed table-design constraint on the ceilings, not a per-run "rescale to 30% of this year's gross" step.
2. 100 cap — the total score is capped at 100 (MADDE 8/3; the payout formula uses puan/100).
3. Net-30 gate — the incentive is payable only if the final score ≥ 30: "Akademik teşvik ödeneğinin ödenebilmesi için akademik teşvik puanının en az otuz olması gerekir" (MADDE 10/3, "Diğer hükümler"). Below 30, no payment regardless of output volume.

How to Run It

1. Classify activities into a JSON list

Each item needs a type (one of the nine canonical türler) and an oran — the regulation row's value (k × p × 60, r × 80, 15 × ay, the bare integer for citations/awards, …) expressed as a fraction of that type's headline puan. Take the table cell, treat its trailing integer as a percentage, and apply k/p/r/months:

[
  {"type": "Yayın",  "oran": 0.48, "label": "Q1 SSCI, 2 authors → k0.8·p1.0·0.60"},
  {"type": "Proje",  "oran": 0.80, "label": "TÜBİTAK 1001 yürütücü (A1) → r1.0·0.80"},
  {"type": "Atıf",   "oran": 0.08, "count": 12, "label": "12 SCI citations → 0.08 each"}
]

Type names accept Turkish spelling with diacritics (Yayın, Atıf, Tebliğ); the script ASCII-folds them internally. count (default 1) multiplies the oran for identical repeated activities. See references/hesaplama.md for how to derive each oran from the table, with worked rows.

2. Run the calculator

uv run python skills/turkish-academia/alterlab-akademik-tesvik/scripts/tesvik_score.py \
    activities.json --json

Pass - to read the JSON list from stdin. Omit --json for a readable table.

3. Report the result

Present, in this order:

1. The final score and whether it was capped at 100.
2. The net-30 verdict: payable (≥30) or not payable (<30).
3. The per-type breakdown (Σoran → raw türü puanı → final after the headline ceiling), surfacing any type the MADDE 8/3 ceiling reduced.
4. Any warnings (unknown type, missing oran, ceiling reduction, gate failure).

Payout (score → TRY)

The TRY amount is (kadro oranı) × (score/100) × [(1500 + 8000) × memur aylık katsayısı] (MADDE 8/1), with kadro oranı = Profesör %100, Doçent %90, Dr. Öğr. Üyesi %80, araştırma görevlisi / öğretim görevlisi %70. The memur aylık katsayısı is revised ~twice a year and is not hardcoded; report the formula and ask the user to apply the current period's coefficient before quoting money.

Self-Check Before Reporting

• Did you classify each activity into a real regulation type, or did the script warn about an unknown type (then it was dropped)?
• Did you apply the headline ceilings (MADDE 8/3), the 100 cap, and the net-30 gate (MADDE 10/3) — and derive each oran from the table, not invent a base?
• Are you reporting a score, not a fabricated TRY amount from a guessed salary coefficient?
• Is this an annual teşvik question — or a doçentlik one that belongs to alterlab-docentlik-eligibility?
• Is the subject a Devlet (state) university staff member? Foundation/private universities are out of scope; yabancı uyruklu (foreign-national) staff cannot benefit at all (MADDE 6/9), and faaliyetler done while seconded to a vakıf university are not counted (MADDE 6/7).

References

• references/tablo4.md — verified ceilings and k/p/r coefficient tables, with the regulation source and last-verified date.
• references/hesaplama.md — full calculation pipeline, worked example, the payout formula, and common pitfalls.
• Regulation PDF: https://www.mevzuat.gov.tr/MevzuatMetin/21.5.201811834.pdf (Akademik Teşvik Ödeneği Yönetmeliği). Re-verify before a real başvuru.

Part of the AlterLab Academic Skills suite.