慶英会 塾長｜慶應義塾大学卒・英検1級
中高一貫校の学校英語・NEW TREASURE・英検対策を専門とするオンライン個別指導塾です。塾長紹介
NEW TREASURE Stage5 Third EditionのLesson10の題材は「能力主義（meritocracy）への問い」です。能力や努力を評価することと、生まれ育った条件の影響を考えることは、必ずしも矛盾しません。大学入試レベルの論説読解では、個人の成果・機会の公平性・統計的な関連・因果関係を分けて読むことが重要です。慶英会の独自英文8段落と32問・全解答・要約例で、学校のReadと英文論証に対応します。
【版と独自性】Ｚ会公式カタログでStage5 Lesson10のテーマを確認しています。教科書本文・公式設問・全文和訳の転載ではありません。架空の生徒・奨学金選考例と、OECDの公開統計は明確に区別しています。教育制度の特定の政治的立場を推奨するものではなく、対立する見解と統計の読み方を中立に扱います。
目次：能力主義の定義／独自長文／32問／全解答／要約・復習／FAQ
Meritocracyとは？努力と教育機会はどう関係するか
meritocracy（能力主義・業績主義）は、家庭の特権などではなく能力や努力・成果に基づき地位や報酬を配分する考え方です。ただし努力する機会には家庭環境や利用できる教育資源などによる差がありえます。OECDの『Education at a Glance 2025』では、親の教育歴に応じて若年成人の高等教育修了率に差があることが示されています。これは集団の関連性を示す指標であり、一人の将来を決定する数値ではありません。
- Merit：能力・実績・努力など評価しようとするもの。
- Opportunity：学ぶ・能力を示す機会。成果そのものと区別。
- Socio-economic background：家庭の社会経済的な条件。
- Association：統計的関連。単独で因果の証明にはならない。
- Fairness：何を公正と考えるか、評価目的と条件で解釈が異なりうる。
- Trade-off：評価の幅を増やすと手間・主観性なども増える場合がある。
学校英文では「能力主義を肯定するか否定するか」の二択に縮めず、主張の対象が個人か集団かを判断しましょう。研究の平均値は、特定の生徒の才能や努力の程度を証明しません。
慶英会オリジナル長文｜Achievement, Opportunity and Fairness
以下は慶英会が独自制作した高校向け論説英文です。統計はOECDの公表値、登場人物や奨学金選考の比較は創作であり、実在する学校の制度や判定結果ではありません。
Paragraph 1 — What counts as merit? A school awards a scholarship to the student with the highest examination score. Many people consider the rule fair because it is clear and rewards achievement. Others ask whether the score captures everything the school intends to reward. Students may have worked under different conditions, and a single examination may measure some abilities more reliably than others. The disagreement raises a question about meritocracy, the idea that positions and rewards should be based on people’s ability and effort rather than inherited privilege. The appeal of this principle is easy to understand, but applying it fairly requires careful thought about the opportunities people have to develop and demonstrate their abilities.
Paragraph 2 — Effort and opportunity. Consider two fictional students, Keita and Rina, preparing for a competitive examination. Both work hard, but their circumstances differ. Keita has a quiet study room, reliable internet access and time for extra lessons. Rina shares a crowded space and helps care for a younger relative. Nothing in this comparison tells us which student is more talented or which will receive a higher score. Its purpose is to show why equal effort does not necessarily take place under equal conditions. If a selection system measures achievement at a single point in time, it may record the effects of preparation opportunities as well as individual knowledge. Recognizing this possibility does not require denying the value of hard work.
Paragraph 3 — What large datasets show. In its Education at a Glance 2025 report, the Organisation for Economic Co-operation and Development, or OECD, describes unequal educational opportunities across member countries. The report states that on average only 26 percent of young adults whose parents did not complete upper secondary education hold a tertiary qualification, compared with 70 percent of those who have at least one tertiary-educated parent. This is a difference of forty-four percentage points. The figures do not mean that a particular student is destined to succeed or fail. Nor do they by themselves show which single cause is responsible. Rather, they document a broad association between parental education and educational attainment that requires further investigation.
Paragraph 4 — Two arguments that need not cancel each other. One participant in a fictional classroom debate argues that schools must recognize skill and dedication because ignoring achievement would be unfair to students who have invested effort. Another argues that institutions should make sure talented students are not excluded by disadvantages unrelated to their potential. These positions are sometimes presented as absolute opposites, but a fair system could try to pursue both goals. For example, an institution might communicate clear standards while offering earlier learning support to students who would otherwise lack access to useful resources. Whether such policies work should be evaluated rather than assumed. The crucial question is what the institution is trying to measure and whether its procedures serve that purpose.
Paragraph 5 — A fictional selection exercise. The class imagines a scholarship committee selecting students for an advanced language program. The committee receives twenty applications and initially considers only one written score. Later it tests a second approach that also examines a structured writing task and a conversation about learning goals. Fifteen of the twenty applicants receive the same ranking under both approaches; five change position. The students do not treat this as proof that one system is better. Rankings differ because the measures differ, but the exercise has not established which measure predicts future learning most accurately. A multi-part assessment may capture more information, yet it can also impose time costs and introduce subjective judgments unless criteria are carefully defined.
Paragraph 6 — The danger of a false choice. During discussion, the teacher writes two claims on the board. The first says that examination scores perfectly reveal individual merit. The second says that scores tell us nothing worth knowing. The students reject both statements. Scores can provide useful information about performance on particular tasks, but they cannot always capture every relevant quality. Similarly, recognizing unequal opportunity does not imply that personal effort has no effect. Researchers distinguish differences between groups from the prospects of each individual. Averages can help identify issues for policy, while they are poor substitutes for evaluating a particular student’s strengths and needs. Good arguments are careful with both evidence and scale.
Paragraph 7 — From evidence to policy. The class proposes three questions for evaluating a scholarship policy. First, what abilities is the scholarship intended to recognize? Second, can students from different backgrounds demonstrate those abilities under sufficiently comparable conditions? Third, after awards are made, does the program produce the learning outcomes it was meant to support? These questions do not produce a single political answer. A government, school or university may attach different weights to efficiency, fairness, freedom of choice and other values. But making the objectives explicit allows the public to debate trade-offs and assess the evidence. Policy design becomes more transparent when its supporters explain both what it measures and what it leaves out.
Paragraph 8 — A qualified conclusion. The debate ends without declaring that all achievement is inherited or that all competition is fair. Instead, students conclude that recognizing individual work and improving access to opportunity can both be legitimate aims. Success depends on how institutions define merit, provide preparation and assess results. A student reading about meritocracy should therefore identify the claim, examine the evidence and ask whether it supports a statement about society as a whole or about a single person. The most persuasive explanation does not turn statistical association into destiny, nor does it erase the role of individual decisions. It acknowledges that achievement is real while asking whether the opportunity to demonstrate it is distributed fairly.
独自32問｜社会科学の数値・論理・英作文
第1部｜主張・統計・具体例20問
問1. What principle does meritocracy propose?
問2. Why might a single examination score not tell the whole story?
問3. What two circumstances distinguish Keita and Rina?
問4. Does the passage say Keita is more talented than Rina?
問5. Which international organization produced the 2025 education figures?
問6. What proportion of young adults in the first parental-education group held a tertiary qualification?
問7. What proportion was reported for young adults with at least one tertiary-educated parent?
問8. How large is the difference?
問9. Do these group-level figures determine a particular student’s future?
問10. Can the figures alone identify a single cause?
問11. What does the first classroom participant value?
問12. What does the second participant emphasize?
問13. Are these two aims necessarily incompatible?
問14. What three measures were considered in the fictional scholarship exercise?
問15. How many rankings remained the same under both fictional approaches?
問16. What percentage changed ranking?
問17. Does a changed ranking prove that the second method is better?
問18. What potential cost accompanies a multi-part assessment?
問19. Why are the two extreme claims about examination scores rejected?
問20. What is the main conclusion of the passage?
第2部｜語彙・和訳8問
問21. The word inherited in paragraph 1 most nearly means (A) received from family (B) earned through effort (C) measured.
問22. The expression at a single point in time means what?
問23. What does association mean in paragraph 3?
問24. The phrase capture more information in paragraph 5 means (A) assess additional features (B) lose data (C) select fewer applicants.
問25. Translate: Equal effort does not necessarily take place under equal conditions.
問26. Translate: The figures do not mean that a particular student is destined to succeed or fail.
問27. Translate: Averages can help identify issues for policy, while they are poor substitutes for evaluating an individual.
問28. Write: 「努力を評価することと機会を広げることは両立しうる」。
第3部｜英作文と要約4問
問29. Write: 「統計的な関連は必ずしも因果関係を意味しない」。
問30. Write: 「公平な評価基準を明確にする必要がある」。
問31. Why should an institution define its assessment goals before selecting methods?
問32. Give a two-sentence summary of the author’s position.
全32問の解答・根拠・英文の解説
解答1〜20：数値と評価
解答1：Rewards and positions should depend on ability and effort rather than inherited privilege.
解説：概念の中心的な定義。
解答2：It measures certain abilities under possibly unequal preparation conditions.
解説：測定対象と機会の違い。
解答3：Access to study space, internet, extra lessons and care responsibilities.
解説：実例は架空で、どちらが高得点かは述べない。
解答4：No.
解説：環境の違いから能力差は断定していない。
解答5：The OECD.
解説：Education at a Glance 2025。
解答6：26 percent.
解説：親が後期中等教育を修了していない層。
解答7：70 percent.
解説：親の教育歴による比較。
解答8：44 percentage points.
解説：70−26=44ポイント。
解答9：No.
解説：統計的な傾向と個人の決定論を区別。
解答10：No.
解説：観測された関連を単独の因果とみなさない。
解答11：Recognition of skill, dedication and achievement.
解説：努力と技能を評価する視点。
解答12：Preventing disadvantage from hiding potential.
解説：教育機会の公平性という視点。
解答13：No.
解説：両者を制度設計で両立させる可能性を議論。
解答14：A written score, a structured writing task and a conversation about learning goals.
解説：選考方法の違いを示す。
解答15：Fifteen of twenty.
解説：架空の例題データ。
解答16：25 percent (5/20).
解説：5÷20=0.25。
解答17：No.
解説：予測妥当性を検証していない。
解答18：More time and potentially subjective judgments.
解説：測定項目が増える利点とコスト。
解答19：Scores provide some useful information but do not capture every quality.
解説：部分的な価値を認める。
解答20：Recognizing achievement and improving opportunity can both matter.
解説：極端な二分法を避ける。
解答21〜28：語彙・重要構文
解答21：(A) received from family.
解説：世襲的・引き継いだという意味。
解答22：At one particular moment rather than over an entire period.
解説：試験の測定時点の限定。
解答23：A statistical relationship, not automatically proof of causation.
解説：関連と因果を分ける。
解答24：(A) assess additional features.
解説：測定する側面が増えること。
解答25：同じだけ努力しても、必ずしも同じ条件下で行われるとは限らない。
解説：not necessarilyの部分否定。
解答26：その数値は、特定の生徒の成功や失敗が運命づけられていることを意味しない。
解説：do not mean that以下の否定。
解答27：平均値は政策上の問題を見つけるのに役立つ一方、個人を評価する代わりにはあまりならない。
解説：whileは対比の接続詞。
解答28：Recognizing effort and expanding opportunity can be compatible.
解説：動名詞句の並列。
解答29〜32：英作文・要約
解答29：A statistical association does not necessarily imply causation.
解説：does not necessarily implyを使用。
解答30：We need to make the assessment criteria clear.
解説：make O CのSVOC構文。
解答31：Without a defined goal, it cannot judge whether a measure captures the intended abilities.
解説：測定したい能力に対する妥当性が評価できない。
解答32：Merit-based assessment can recognize genuine effort, but educational outcomes are also related to unequal opportunities. Fair systems should define relevant abilities, examine evidence carefully and avoid treating group statistics as individual destiny.
解説：主張の両面・限定を保持。
英文要約・Critical Writingのモデル
Meritocracy aims to reward ability and effort rather than inherited privilege. However, students do not always have equal access to preparation opportunities. OECD data show a large association between parental education and young adults’ educational attainment, but the figures cannot determine an individual’s future or prove a single cause. A fair assessment system should define what it intends to measure and examine the strengths and limitations of its methods. Recognizing achievement and expanding opportunity need not be opposing goals.
この要約は筆者の立場を単純な賛成・反対にしないため、however / but / need notを使っています。統計を読むときは26％と70％の差が44パーセントポイントであること、特定個人についての結論ではないことを必ず含めます。
- Day1：meritocracy・opportunity・fairnessの定義を自分の言葉で書く。
- Day2：OECDの26％・70％の集団が誰を指すか説明する。
- Day3：本文中の架空事例と実際の統計資料を区別する。
- Day4：問21〜28の和訳・関係節を構文で確認する。
- Day5：反対意見を一度認めたうえで自分の見解を80語で書く。
- Day6：学校のLesson10指定ReadとWorkbookに戻る。
- Day7：誤答のみを再テストし、論点を一文で説明する。
よくある質問
Q. 能力主義は努力を大切にする考え方ですか？
A. その側面があります。ただし何を能力・実績とみなすか、準備機会の違いをどう扱うかについて議論があります。本文は両方の観点を示します。
Q. 親の学歴によって子どもの大学進学が決まるのですか？
A. いいえ。OECDのデータは集団の教育達成率の違いを示しますが、個人の将来を確定するものではありません。統計的な関連と個人の可能性は区別が必要です。
Q. 26％から70％への差は44％ですか？
A. 正しくは割合の差が44パーセントポイントです。百分率での相対的な変化とは単位が異なります。
Q. 教科書のLesson10と同じ英文ですか？
A. いいえ。題材を入口にした慶英会独自の初見読解教材です。Ｚ会の教科書本文や問題を転載していません。
関連教材と慶英会の学習相談
社会科学の英文は単語を訳すだけでなく、統計の対象・主張の限定・反対意見への応答を整理すると得点に直結します。慶英会では中高一貫校の授業進度に合わせ、長文設問・日本語記述・英文要約を個別に指導します。最大1か月無料体験・学習相談はこちら。
参考にした一次情報
Ｚ会2026年NEW TREASURE公式カタログ（Stage5 Lesson10）／OECD：Education at a Glance 2025（教育達成と機会）／OECD：PISA 2022 Equity in Education。
Stage5全体の総仕上げ：Lesson1 多言語社会32問からLesson10 能力主義32問までの各教材を復習し、Lesson6 科学読解とLesson8 生物読解など異分野の根拠を比較してください。
Lesson10の学習を総合問題に接続する：授業範囲の読解を復習したら、Stage5全10Lessonの独自総合テスト60問（全解答）で初見の英問英答・和訳・英作文を確認できます。専門的なテーマ語彙に不安がある場合は、Stage5の重要語彙・熟語100選（独自例文100文・確認40問）を先に復習してください。いずれも慶英会が独自に作成した無料教材です。
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慶英会 塾長｜慶應義塾大学卒・英検1級。中高一貫校の学校英語・NEW TREASURE・英検対策を専門としています。塾長の経歴・指導方針を確認する