Integration is not decoration — it is a deliberate method for making each unit reach outward into history, reading, and writing first, then into ethics and statistics, so the craft of doing science becomes something a student can think with rather than just recall. Memory is associative: a skill lashed to a discovery, a controversy, and a consequence is held by a dozen threads instead of one.
Every unit radiates the same structured set of connections off the science spine — three tiers plus a quantitative lane. This is what keeps the cross-domain work rigorous instead of random.
| Tier | What it carries |
|---|---|
| Core spokes always required | History & Ethics, Reading, Writing. Every unit names who first used the skill and what they got wrong, gives a real text to read (primary source, biography, living book — not a textbook chapter), and asks for writing in the student’s own voice. These run in every unit, no exceptions. |
| Standard spokes where they fit | Statistics (rates, comparison groups, honest reading of numbers) and everyday examples (which real object — a bean seedling, a paper airplane, a fizz tablet — makes the skill concrete). Where a unit genuinely doesn’t carry these, we move them to the elective pool rather than fake a connection. |
| Elective spokes pick ~two of five | Statistics extension · Ethics debate · History deep-dive · Communication & persuasion · Design & data visualization. Additive depth, never a substitute for the core. Letting students choose feeds wonder and lets faster students go deeper. |
| Statistics lane always present | Numbers are not a spoke — we use them, we are not a math program. Learning to do science leans on measurement and simple statistics constantly; every unit names the specific quantitative skill it actually requires, done inside the investigation. The per-unit lane is on Page 3. |
Integration is graded as its own strand, separate from the skill-mastery criteria. A student can be Mastered on the skill and only Approaching on integration, or the reverse — which keeps the skill bar pure while still rewarding cross-domain depth.
Every unit has an anchor built the same way, and all eight draw on the same handwashing story. Each row names the unit’s skill and the piece of the Semmelweis data that carries the History & Ethics, Reading, and Writing core — a doorway, not a detour.
| Unit | Scientific Method & Lab Skills big idea | Integration anchor |
|---|---|---|
| 01 Observation & Asking Questions | Careful observation turns a vague noticing into a sharp, answerable question. | Semmelweis noticing one clinic buried far more mothers than the other — the observation that started everything. |
| 02 The Lab Notebook | A dated, honest record is the backbone of every claim. | The hospital’s month-by-month death records — without the written numbers, no one could have seen the pattern. |
| 03 Measurement, Units & Sig Figs | Numbers mean something only when units and precision are clear. | Turning raw deaths into a rate — ~18% versus 2% — made two differently sized clinics fair to compare. |
| 04 Designing a Controlled Experiment | Change one thing, hold the rest constant, compare the groups. | The handwashing trial — the doctors’ clinic changed one variable; the midwives’ clinic stayed the comparison group. |
| 05 Data Tables, Graphs & Patterns | Organizing numbers into a table or graph makes a pattern visible. | The monthly death-rate table before and after handwashing — the drop from ~18% to ~1% once it is charted. |
| 06 Uncertainty, Error & Honesty | Real data is noisy; honest scientists report what it says. | The establishment ignored the evidence out of pride — the human cost of refusing to let the data decide. |
| 07 Lab Safety & Technique | Careful, repeatable technique protects people and produces trustworthy results. | Handwashing itself — a technique that was also a safety practice, done every time as an act of care. |
| 08 Communicating & Defending Findings | A finding you cannot defend cannot change anything. | Semmelweis was right but failed to persuade — his angry letters, and what he could have done instead. |
Big idea: change one thing, hold the rest constant, and read the difference between the groups — a controlled comparison. Anchor: two maternity clinics in one Vienna hospital, 1847; the doctors’ clinic had a childbed-fever death rate near 18%, the midwives’ near 2%. Semmelweis’s records showed the doctors came straight from autopsies to deliveries; handwashing in chlorinated lime dropped their deaths to near 1%. Question: students turn deaths into rates, chart the drop, and decide honestly whether it supports the claim. Connection back: this is a controlled experiment and honest data-reading — and the motto of the year, let the data decide.
Numbers never drive a unit, but learning to do science uses them constantly — always anchored to the object or measurement in front of the student. Here is the quantitative skill each unit actually uses, done inside the investigation rather than as a parallel curriculum.
| Unit | Statistics & measurement (in context) |
|---|---|
| 01 Observation & Asking Questions | Turning a noticing into a countable, comparable question; deciding what to measure and how often. |
| 02 The Lab Notebook | Recording numbers with their dates and units so a pattern can be found later. |
| 03 Measurement, Units & Sig Figs | Reading a ruler, balance, or graduated cylinder to the right precision; converting units; rounding honestly. |
| 04 Designing a Controlled Experiment | Choosing comparison groups; identifying the one variable; sample size and fair-test logic. |
| 05 Data Tables, Graphs & Patterns | Building a data table; plotting points; reading a trend off a line or bar graph. |
| 06 Uncertainty, Error & Honesty | Averaging repeated trials; describing spread and range; percent error; not over-claiming. |
| 07 Lab Safety & Technique | Measuring the same way every time so technique adds no error; checking repeatability. |
| 08 Communicating & Defending Findings | Turning a count into a clear rate or percentage; making a graph an audience can read at a glance. |
Students find the rate inside the fair test, average their trials inside the measurement lab, and read the trend inside the graph they built. The number always means something because it is attached to a result they produced — never a worksheet detached from the work.
Integration is its own strand. Track each unit’s integration level across the year — Not Yet, Approaching, or Mastered — separate from the science-mastery rubric. Record demonstration tokens earned in the final column.
| Unit | Not Yet | Approaching | Mastered | Tokens |
|---|---|---|---|---|
| 01 Observation & Asking Questions | ◯ | ◯ | ◯ | ______ |
| 02 The Lab Notebook | ◯ | ◯ | ◯ | ______ |
| 03 Measurement, Units & Sig Figs | ◯ | ◯ | ◯ | ______ |
| 04 Controlled Experiment | ◯ | ◯ | ◯ | ______ |
| 05 Data Tables & Graphs | ◯ | ◯ | ◯ | ______ |
| 06 Uncertainty & Honesty | ◯ | ◯ | ◯ | ______ |
| 07 Lab Safety & Technique | ◯ | ◯ | ◯ | ______ |
| 08 Communicating Findings | ◯ | ◯ | ◯ | ______ |
A student who walks through all eight anchors finishes understanding that doing science well is how humans learned to trust what they know, and that every skill on the page was once a hard-won lesson someone had to fight to be believed — the version of the craft a student keeps.