Bibliographic record
Abstract
Curriculum Ontario Grade 5 Understanding Structures and Mechanisms - Forces Acting on Structures and MechanismsLearning ObjectiveStudents will choose a famous structure to research, create and present to class Materials technology (iPads, Chromebook, laptop)informational textsBuilding Materials Students can bring in any materials from home but have some materials available for students pop sickle stickswooden dowels cardboard hot glue gunsnails/screws paint paint brushes clay pipe cleaners Lesson IntroductionDisplay different famous structures and discuss with students what structures they know from around the world. - what makes these structures famous?- why/how did these structures become famous?Assignment In this assignment, students will choose a famous structure to research and present to the class. Students can decide whether to make a 3-D model of the structure, draw a picture of it, do a scrapbook, or make a power point presentation. Completed projects should have facts as well as images to assist in teaching and holding your classmates attention during the presentation. Information can be gathered through books, magazines, websites and even television/YouTube documentaries. Please include the following information: When was the structure built? How long did construction take? Who deigned and constructed it? What kinds of equipment or special methods were used? What materials were used and why? Were they any problems during construction? What were they? Why was the structure built? Where is it located? Extra fun facts!There are many famous structures that can be found all over the world. Structures can include bridges, towers, statues, skyscrapers, domes, lighthouses, temples, castles and even roller coasters. Feel free to choose from the list below, or find a structure of your own;Great Wall of China Statue of Liberty The Taj Mahal Ambassador Bridge CN Tower The White House Empire State Building The Colosseum Leaning Tower of Pisa Sydney Opera HouseLesson pt 2 Allow students time to research different structures and check their success criteria to meet requirements. Meet with students to check in on their research and progress. Give students a couple days to research and then construct their famous structure. While researching students may want to build a presentation in Google Slides or Power Point, students can also create a display board for presenting their findings to the class. After students have constructed their famous structure, additional time may be needed to complete and practice their presentation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.565 | 0.221 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".