/publish-study
/publish-study 2026-02-08_do-llms-exhibit-maternal-default-bias-when

import glob
import os

candidates = sorted(glob.glob("./[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]_*"), key=os.path.getmtime, reverse=True)
candidates = [d for d in candidates if os.path.isdir(d)]

Question: "Which study do you want to publish?"
Header: "Study"
Options: [list each directory as an option with its name as label and first line of experiment_design.md as description]

import os, glob

analysis_dirs = sorted(glob.glob(f"{study_dir}/analysis_*/"))
with_reports = [d for d in analysis_dirs if os.path.isfile(os.path.join(d, "report.md"))]

Question: "Which analysis should be the primary report (README.md)?"
Header: "Analysis"
Options: [list each analysis_N with first line of its report.md as description]

from edsl import Results

results = Results.load(f"{study_dir}/results")  # loads results.json.gz

# Push to Expected Parrot (unlisted by default)
info = results.push(description="Results for: <study_slug>")

# Extract the UUID and URL from the push response
# info is a dict with 'uuid' and 'url' keys
results_uuid = info["uuid"]
results_url = info["url"]
print(f"Results pushed: {results_url}")
print(f"UUID: {results_uuid}")

# Create temp staging directory
mkdir -p /tmp/publish-study-staging
mkdir -p /tmp/publish-study-staging/images
mkdir -p /tmp/publish-study-staging/data
mkdir -p /tmp/publish-study-staging/questions

STUDY_DIR="<study_dir>"
ANALYSIS_DIR="<analysis_dir>"
STAGING="/tmp/publish-study-staging"

# Clean staging area
rm -rf "$STAGING"
mkdir -p "$STAGING/images" "$STAGING/data" "$STAGING/questions"

# Copy analysis PNGs to images/
cp "$ANALYSIS_DIR"/*.png "$STAGING/images/" 2>/dev/null || true

# Copy experiment design
cp "$STUDY_DIR/experiment_design.md" "$STAGING/experiment_design.md" 2>/dev/null || true

# Copy study script (find the *_study.py or similar)
cp "$STUDY_DIR"/*_study.py "$STAGING/study.py" 2>/dev/null || \
cp "$STUDY_DIR"/*_survey.py "$STAGING/study.py" 2>/dev/null || \
cp "$STUDY_DIR"/*.py "$STAGING/study.py" 2>/dev/null || true

# Copy survey documentation
cp "$ANALYSIS_DIR/survey.md" "$STAGING/survey.md" 2>/dev/null || true

# Copy results CSV
cp "$ANALYSIS_DIR/results.csv" "$STAGING/data/results.csv" 2>/dev/null || true

import glob, os, shutil

staging = "/tmp/publish-study-staging"
analysis_dir = "<analysis_dir>"

answer_dirs = [d for d in glob.glob(f"{analysis_dir}/*/")
               if os.path.isfile(os.path.join(d, "answer.md"))]

for answer_dir in answer_dirs:
    slug = os.path.basename(answer_dir.rstrip("/"))
    dest = f"{staging}/questions/{slug}"
    os.makedirs(dest, exist_ok=True)

    # Copy answer.md as <slug>.md
    shutil.copy2(f"{answer_dir}/answer.md", f"{staging}/questions/{slug}.md")

    # Copy any PNGs
    for png in glob.glob(f"{answer_dir}/*.png"):
        os.makedirs(f"{dest}", exist_ok=True)
        shutil.copy2(png, f"{dest}/{os.path.basename(png)}")

import re

with open(f"{analysis_dir}/report.md", "r") as f:
    readme = f.read()

# 1. Rewrite image paths: (foo.png) -> (images/foo.png)
#    Match markdown image syntax ![desc](filename.png)
readme = re.sub(
    r'(!\[[^\]]*\])\(([^/)][^)]*\.png)\)',
    r'\1(images/\2)',
    readme
)

# 2. Rewrite results.csv links: (results.csv) -> (data/results.csv)
readme = readme.replace("(results.csv)", "(data/results.csv)")

# 3. Append reproducibility footer
footer = f"""

---

## Reproducibility

This study was conducted using [Expected Parrot EDSL](https://docs.expectedparrot.com/).

### Results on Expected Parrot

The full results object is available on Expected Parrot:

- **URL:** [{results_url}]({results_url})
- **UUID:** `{results_uuid}`

### Pull the Results

```python
from edsl import Results

results = Results.pull("{results_uuid}")
df = results.to_pandas()

If the EP push failed (no `results_uuid`), use a simpler footer without the EP link:

```python
footer_no_ep = """

---

## Reproducibility

This study was conducted using [Expected Parrot EDSL](https://docs.expectedparrot.com/).

### Study Code

The experiment script is available in [`study.py`](study.py). The experimental design is documented in [`experiment_design.md`](experiment_design.md).

### License

This study and its artifacts are released under the [MIT License](LICENSE).

---

*Generated with [Expected Parrot EDSL](https://docs.expectedparrot.com/)*
"""

from datetime import datetime

year = datetime.now().year

license_text = f"""MIT License

Copyright (c) {year}

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""

with open(f"{staging}/LICENSE", "w") as f:
    f.write(license_text)

Question: "What should the GitHub repo be named?"
Header: "Repo name"
Options:
  1. "<study-slug>" - "Default: slug from the study directory name (without date prefix)"
  2. "Custom name" - "Enter a custom repository name"

Question: "Should the repo be public or private?"
Header: "Visibility"
Options:
  1. "Public (Recommended)" - "Anyone can see this repository"
  2. "Private" - "Only you and collaborators can see this repository"

# "2026-02-08_do-llms-exhibit-maternal-default-bias-when" -> "do-llms-exhibit-maternal-default-bias-when"
study_slug = os.path.basename(study_dir).split("_", 1)[1] if "_" in os.path.basename(study_dir) else os.path.basename(study_dir)

REPO_NAME="<repo_name>"
VISIBILITY="--public"  # or "--private"
STAGING="/tmp/publish-study-staging"

# Create the GitHub repo
gh repo create "$REPO_NAME" $VISIBILITY --description "Research study: <short description>"

# Initialize git in the staging directory and push
cd "$STAGING"
git init
git add .
git commit -m "Initial commit: publish study results

Generated with Expected Parrot EDSL
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>"

# Add remote and push
git remote add origin "$(gh repo view "$REPO_NAME" --json url -q .url)"
git branch -M main
git push -u origin main

Question: (none — just report)

Published to: https://github.com/<user>/do-llms-exhibit-maternal-default-bias-when

Repository contents:
- README.md (analysis report with 6 charts)
- experiment_design.md
- study.py
- survey.md
- data/results.csv
- images/ (6 PNGs)
- LICENSE (MIT)

Results are also available on Expected Parrot:
  https://expectedparrot.com/content/<uuid>

2026-02-08_do-llms-exhibit-maternal-default-bias-when/
├── experiment_design.md
├── maternal_default_bias_study.py
├── results.json.gz
├── results.csv
└── analysis_1/
    ├── report.md
    ├── report.html
    ├── survey.md
    ├── results.csv
    ├── confidence_by_choice.png
    ├── context_effect_by_model.png
    ├── manipulation_check.png
    ├── maternal_default_by_model.png
    ├── maternal_default_heatmap.png
    ├── order_effect_by_model.png
    └── urgency_effect_by_model.png

do-llms-exhibit-maternal-default-bias-when/
├── README.md                        # report.md with rewritten paths + reproducibility footer
├── experiment_design.md
├── study.py                         # maternal_default_bias_study.py
├── survey.md
├── LICENSE
├── data/
│   └── results.csv
└── images/
    ├── confidence_by_choice.png
    ├── context_effect_by_model.png
    ├── manipulation_check.png
    ├── maternal_default_by_model.png
    ├── maternal_default_heatmap.png
    ├── order_effect_by_model.png
    └── urgency_effect_by_model.png