@@ -3758,12 +3778,12 @@
Results
1. Ethical arguments for transformative change
Subset of TCA Corpus
How many, what percentage, and what papers in the full TC corpus?
-
The Ethics Corpus consists of 132013 works, which is 2.88% of the TCA Corpus
+
The Ethics Corpus consists of 131735 works, which is 2.85% of the TCA Corpus
2. Assessing broader biodiversity concepts
Subset of OpenAlex Corpus
-The Concepts 1 Corpus (talking about biodiversity in relation to conservation, management, policy, or governance ) consists of 121192 works, which is 0.5% of the Nature Corpus. Of these, 21706 (% of Nature Corpus and % of the Concept 1 Corpus) works also talk about broader than non-human species and ecosystems.
+The Concepts 1 Corpus (talking about biodiversity in relation to conservation, management, policy, or governance ) consists of 123033 works, which is 0.5% of the Nature Corpus. Of these, 22056 (% of Nature Corpus and % of the Concept 1 Corpus) works also talk about broader than non-human species and ecosystems.
3. Assessing disciplinary bias in the nature corpus
@@ -3772,62 +3792,71 @@
4. Narrowed TFC corpus
Subset of TCA Corpus
-The Narrowed TFC Corpus consists of 1027011 works, which is 22.42% of the TCA Corpus.
+The Narrowed TFC Corpus consists of 1033466 works, which is 22.38% of the TCA Corpus.
Subset of Nature Corpus
-The Narrowed Nature Corpus consists of 1139465 works, which is 4.69% of the Nature Corpus.
+The Narrowed Nature Corpus consists of 1147429 works, which is 4.68% of the Nature Corpus.
5. Assessing criteria in the Narrowed TFC corpus
Criteria 1
-277358 works in the narrowed TCA Corpus, which is 27.01% of the Narrowed TCA Corpus.
+278355 works in the narrowed TCA Corpus, which is 26.93% of the Narrowed TCA Corpus.
Criteria 2
-395943 works in the narrowed TCA Corpus, which is 38.55% of the Narrowed TCA Corpus.
+398677 works in the narrowed TCA Corpus, which is 38.58% of the Narrowed TCA Corpus.
Criteria 3
-559791 works in the narrowed TCA Corpus, which is 54.51% of the Narrowed TCA Corpus.
+563984 works in the narrowed TCA Corpus, which is 54.57% of the Narrowed TCA Corpus.
Criteria 4
-838671 works in the narrowed TCA Corpus, which is 81.66% of the Narrowed TCA Corpus.
+845458 works in the narrowed TCA Corpus, which is 81.81% of the Narrowed TCA Corpus.
6. Assessing the literature that discusses the causes of biodiversity loss
Nature Corpus AND Step 1
AND Step 2
+
+- 1521 works in the Nature Corpus crossed with Step 1 and Step 2 terms, which is 0.01% of the Nature Corpus
+
There are the following numbers of wotks in the Nature Corpus:
-- 227 works in the Nature Corpus that discuss the
Topic 1
, which is 0%
+- 222 works in the Nature Corpus that discuss the
Topic 1
, which is 0%
- 30 works in the Nature Corpus that discuss the
Topic 2
, which is 0%
-- 56 works in the Nature Corpus that discuss the
Topic 3
, which is 0%
+- 58 works in the Nature Corpus that discuss the
Topic 3
, which is 0%
- **** works in the Nature Corpus that discuss the
Topic 4
, which is %
-- 222 works in the Nature Corpus that discuss the
Topic 5
, which is 0%
+- 214 works in the Nature Corpus that discuss the
Topic 5
, which is 0%
Narrowed TCA Corpus AND Step 1
AND Step 2
+
+- 369 works in the Narrowed TCA Corpus crossed the NAture Corpus and with Step 1 and Step 2 terms, which is 0.04% of the Narrowed TCA Corpus
+
There are the following numbers of wotks in the Narrowed TCA Corpus:
-- 104 works in the Narrowed TFC Corpus that discuss the
Topic 1
, which is 0.01%
+- 102 works in the Narrowed TFC Corpus that discuss the
Topic 1
, which is 0.01%
- 20 works in the Narrowed TFC Corpus that discuss the
Topic 2
, which is 0%
- 35 works in the Narrowed TFC Corpus that discuss the
Topic 3
, which is 0%
- **** works in the Narrowed TFC Corpus that discuss the
Topic 4
, which is %
-- 101 works in the Narrowed TFC Corpus that discuss the
Topic 5
, which is 0.01%
+- 93 works in the Narrowed TFC Corpus that discuss the
Topic 5
, which is 0.01%
Nature Corpus AND Narrowed TCA Corpus AND Step 1
AND Step 2
+
+- 437 works in the Narrowed TCA Corpus crossed with Step 1 and Step 2 terms, which is 0.04% of the Narrowed TCA Corpus
+
There are the following numbers of wotks in the Nature Corpus AND Narrowed TCA Corpus:
-- 87 works in the Nature Corpus AND Narrowed TFC Corpus that discuss the
Topic 1
, which is 0.01%
+- 85 works in the Nature Corpus AND Narrowed TFC Corpus that discuss the
Topic 1
, which is 0.01%
- 20 works in the Nature Corpus AND Narrowed TFC Corpus that discuss the
Topic 2
, which is 0%
- 32 works in the Nature Corpus AND Narrowed TFC Corpus that discuss the
Topic 3
, which is 0%
- **** works in the Nature Corpus AND Narrowed TFC Corpus that discuss the
Topic 4
, which is %
-- 93 works in the Nature Corpus AND Narrowed TFC Corpus that discuss the
Topic 5
, which is 0.01%
+- 86 works in the Nature Corpus AND Narrowed TFC Corpus that discuss the
Topic 5
, which is 0.01%
diff --git a/IPBES_Ch1_evidence_causes.qmd b/IPBES_Ch1_evidence_causes.qmd
index 837ef8a..dbe7304 100644
--- a/IPBES_Ch1_evidence_causes.qmd
+++ b/IPBES_Ch1_evidence_causes.qmd
@@ -176,7 +176,7 @@ count$tca_corpus <- openalexR::oa_fetch(
### 1. Ethical arguments for transformative change
-The search terms is [ethical](inputs/ch1_evidence_causes/ethical.txt){target=_blank}
+The search terms is [ethical](./inputs/ch1_evidence_causes/ethical.txt){target=_blank}
on **OpenAlex**.
```{r}
@@ -341,6 +341,26 @@ st_1_nat <- compact(paste0("(", nature_st, ") AND (", biodiv_loss_1_st, ") AND (
st_2_tca <- compact(paste0("(", narrowed_tca_st, ") AND (", biodiv_loss_1_st, ") AND (", biodiv_loss_2_st, ")"))
st_3_nat <- compact(paste0("(", nature_st, ") AND (", narrowed_tca_st, ") AND (", biodiv_loss_1_st, ") AND (", biodiv_loss_2_st, ")"))
+count$st_1_nat <- openalexR::oa_fetch(
+ title_and_abstract.search = st_1_nat,
+ count_only = TRUE,
+ output = "list",
+ verbose = TRUE
+)$count
+
+count$st_2_tca <- openalexR::oa_fetch(
+ title_and_abstract.search = st_2_tca,
+ count_only = TRUE,
+ output = "list",
+ verbose = TRUE
+)$count
+
+count$st_3_nat <- openalexR::oa_fetch(
+ title_and_abstract.search = st_3_nat,
+ count_only = TRUE,
+ output = "list",
+ verbose = TRUE
+)$count
count$biodiv_loss_nat_s_1 <- openalexR::oa_fetch(
title_and_abstract.search = compact(paste0("(", st_1_nat, ") AND (", biodiv_loss_3_1_st, ")")),
@@ -769,6 +789,8 @@ The Narrowed Nature Corpus consists of **`r count$narrowed_tca_nature`** works,
### Nature Corpus AND `Step 1` AND `Step 2`
+- **`r count$st_1_nat `** works in the Nature Corpus crossed with Step 1 and Step 2 terms, which is **`r round(100 * count$st_1_nat / count$nature_corpus, digits = 2)`%** of the Nature Corpus
+
There are the following numbers of wotks in the Nature Corpus:
- **`r count$biodiv_loss_nat_s_1 `** works in the Nature Corpus that discuss the `Topic 1`, which is **`r round(100 * count$biodiv_loss_nat_s_1 / count$nature_corpus, digits = 2)`%**
@@ -780,6 +802,8 @@ There are the following numbers of wotks in the Nature Corpus:
### Narrowed TCA Corpus AND `Step 1` AND `Step 2`
+- **`r count$st_3_nat `** works in the Narrowed TCA Corpus crossed the NAture Corpus and with Step 1 and Step 2 terms, which is **`r round(100 * count$st_3_nat / count$narrowed_tca_tca, digits = 2)`%** of the Narrowed TCA Corpus
+
There are the following numbers of wotks in the Narrowed TCA Corpus:
- **`r count$biodiv_loss_narrowed_s_1 `** works in the Narrowed TFC Corpus that discuss the `Topic 1`, which is **`r round(100 * count$biodiv_loss_narrowed_s_1 / count$narrowed_tca_tca, digits = 2)`%**
@@ -790,6 +814,8 @@ There are the following numbers of wotks in the Narrowed TCA Corpus:
### Nature Corpus AND Narrowed TCA Corpus AND `Step 1` AND `Step 2`
+- **`r count$st_2_tca `** works in the Narrowed TCA Corpus crossed with Step 1 and Step 2 terms, which is **`r round(100 * count$st_2_tca / count$narrowed_tca_nature, digits = 2)`%** of the Narrowed TCA Corpus
+
There are the following numbers of wotks in the Nature Corpus AND Narrowed TCA Corpus:
- **`r count$biodiv_loss_nat_narrowed_s_1 `** works in the Nature Corpus AND Narrowed TFC Corpus that discuss the `Topic 1`, which is **`r round(100 * count$biodiv_loss_nat_narrowed_s_1 / count$narrowed_tca_nature, digits = 2)`%**
diff --git a/buildNo_ch1_evidence_causes b/buildNo_ch1_evidence_causes
index d3824c2..27a69f6 100644
--- a/buildNo_ch1_evidence_causes
+++ b/buildNo_ch1_evidence_causes
@@ -1 +1 @@
-324
+327
diff --git a/data/ch1_evidence_causes/counts.rds b/data/ch1_evidence_causes/counts.rds
index a5840fb..e918763 100644
Binary files a/data/ch1_evidence_causes/counts.rds and b/data/ch1_evidence_causes/counts.rds differ